Showing papers in "International Journal of Manufacturing Technology and Management in 2012"
TL;DR: A lower thickness plate electrode was found to provide better erosion rates and better surface finish on the fabricated micro-rods; reducing the plate thickness from 500 μm to 300 μm results in 20% and 11% improvement in the surface finish at the tip of 80 μm and 200 μm rods, respectively.
Abstract: Reverse micro-EDM (R-MEDM) has evolved as process for the fabrication of high aspect ratio arrayed micro-features. A detailed characterisation of R-MEDM process has been carried out using Taguchi method-based experimentation in the fabrication of micro-rods of size ф 80 μm and ф 200 μm of 1.5 mm length on WC. Response parameters were erosion rate, tool wear, surface finish and dimensional accuracy, whereas voltage, capacitance, threshold, feed and electrode thickness were the processing parameters. Erosion rate of process improves over a period of time. A lower thickness plate electrode was found to provide better erosion rates and better surface finish on the fabricated micro-rods; reducing the plate thickness from 500 μm to 300 μm results in 20% and 11% improvement in the surface finish at the tip of 80 μm and 200 μm rods, respectively. Notable differences were observed in the dimensional accuracy and surface finish of the fabricated.
19 citations
TL;DR: The present work is an attempt to make use of Taguchi optimisation technique to optimise cutting parameters during high speed turning of Inconel 718 using cermet tool using response surface methodology (RSM).
Abstract: Nickel-based super alloy, Inconel 718 is extensively used in sophisticated applications due to its unique properties desired for engineering applications. Due to its peculiar characteristics, machining of Inconel 718 is complicated and costly. The present work is an attempt to make use of Taguchi optimisation technique to optimise cutting parameters during high speed turning of Inconel 718 using cermet tool. The performance of the cermet tool is described using response surface methodology (RSM). The experimental plan is based on central composite design (CCD). Surface roughness and flank wear are the response variables investigated. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The cutting speed is the most significant factor that influences the surface roughness and flank wear. Yet, there are other factors that provide secondary contributions to the performance indicators. The adequacy of the predictive model is verified using analysis of variance.
13 citations
TL;DR: A new combination of response surface methodology, grey relational analysis (GRA), and principal component analysis (PCA) modelling and optimisation method are used for the determination of the optimum process parameters that maximises material removal rate without compromising the surface quality in an AISI D2 tool steel.
Abstract: This paper proposes a new combination of response surface methodology (RSM), grey relational analysis (GRA) and principal component analysis (PCA) modelling and optimisation method are used for the determination of the optimum process parameters that maximises material removal rate without compromising the surface quality in an AISI D2 tool steel. The input parameters of electrical discharge machining (EDM) considered for this analysis are pulse current ( Ip ), pulse duration ( Ton ), duty cycle ( Tau ) and discharge voltage ( V ). The effects of these parameters have been optimised by conducting by optimising multi response analysis. The designed experimental results are used in GRA, and the weights of the responses are determined by PCA. Based on optimisation results, using the RSM the interactive effects of the machining parameters on the responses were evaluated. It is found that the grey relational grade (GRG) was dominantly influenced by Ip and their interactions with the other parameters. This method is simple with easy operatability, the assessment outcome provides a scientific reference to obtain useful information about how to control the modelling parameter to ensure high productivity without compromising the quality of the EDM surfaces. The results have also been verified by running confirmation tests.
12 citations
TL;DR: The experiments conducted as cutting depth is smaller than ultrasonic amplitude show that RUFM process can significantly reduce the cutting force, tool wear on the end face, and subsurface damage depth.
Abstract: Rotary ultrasonic face milling (RUFM) process is introduced into flat surface machining of K9 glass in this study. The model of material removal for RUFM is developed. The cutting force, tool wear and subsurface damage of RUFM and diamond milling of K9 glass are compared. The results present that the relationship between cutting depth and ultrasonic amplitude has remarkable effects on cutting force, and suggest that cutting depth should be smaller than ultrasonic amplitude with RUFM process to obtain better processing performance. The experiments conducted as cutting depth is smaller than ultrasonic amplitude show that RUFM process can significantly reduce the cutting force, tool wear on the end face, and subsurface damage depth. Brittle deformation, materials removal and sub-surface damage features of K9 glass in RUFM and diamond milling are observed by scanning electron microscopy. The study indicates that the established material removal model for RUFM is reliable.
12 citations
TL;DR: A new approach based on a hybridisation of the particle swarm optimisation (PSO) algorithm with data mining (DM) technique to solve the multi-objective flexible job-shop scheduling problem.
Abstract: Flexible job-shop scheduling problem (FJSSP) is an extension of the classical job-shop scheduling problem that allows an operation to be processed by any machine from a given set along different routes. It is very important in both fields of production management and combinatorial optimisation. This paper presents a new approach based on a hybridisation of the particle swarm optimisation (PSO) algorithm with data mining (DM) technique to solve the multi-objective flexible job-shop scheduling problem. Three minimisation objectives – the maximum completion time, the total workload of machines and the workload of the critical machines are considered simultaneously. In this study, PSO is used to assign operations and to determine the processing order of jobs on machines. The objectives are optimised by data mining technique which extracts the knowledge from the solution sets to find the near optimal solution of combinatorial optimisation problems. The computational results have shown that the proposed method ...
10 citations
TL;DR: This paper deals with proposing a methodology for knowledge reuse during the product 'concept' phase, working on customer requirements, product specification and semantic strategies.
Abstract: Considering that the market is always asking more and more complex and customised products, but that at the same time it is necessary to maintain under control cost and time, enterprises have to find appropriate methodologies and tools able to support their knowledge sharing for exploiting as best as possible all the experiences and to focus all the efforts on the development of the product innovative aspects. To reach this aim, it is necessary to introduce in the product lifecycle management approaches appropriate methodologies for supporting knowledge formalised during the product development process, in order to store the company expertise in a comprehensible, accessible and simple way and to support its retrieve by any other could be interested in. This paper deals with proposing a methodology for knowledge reuse during the product ‘concept’ phase, working on customer requirements, product specification and semantic strategies. The proposed methodology has been experimented inside a students’ race team, supporting the development of the new version of the their vehicle.
10 citations
TL;DR: Five corporate hospitals from Tamil Nadu, India are selected and the analytical hierarchy process (AHP) tool is applied to know and give the ranking towards the best service quality offered by the above mentioned corporate hospitals.
Abstract: Services are very valuable things for the customers. Service quality means, to deliver the intangible things from the provider (organisation) to the receiver (customer). Corporate hospitals’ services are very much valuable for the patients and its nature is intangible. The nature of hospitals is to give the proper treatment for the human life. Measurement of service quality in corporate hospital is the difficult task for the researchers. In this paper, researcher has selected five corporate hospitals from Tamil Nadu, India to assess the service quality of the corporate hospitals. Service qualities that influence the corporate hospitals have been discussed in this research work. The factors that affect the service quality of the hospital have been fit into the five dimensions (reliability, assurance, tangible, empathy and responsiveness) of SERVQUAL model (Parasuraman et al., 1988). In this study, researcher has applied the analytical hierarchy process (AHP) tool to know and give the ranking towards the best service quality offered by the above mentioned corporate hospitals. After getting the AHP result, researcher gave the ranking for the corporate hospitals.
9 citations
TL;DR: Responsible surface model is developed and Taguchi method and analysis of variance are employed to study the thrust force in drilling of MDF panels using (K20) carbide tools, which found that the drill sizes are very sensitive over the range of speed.
Abstract: Medium density fibre (MDF) panels find increased applications in wood industries. Drilling is frequently used machining process to join these materials. Surface quality and dimensional accuracy play an important role in the performance of joints. To make an effective use of MDF panels, it is essential to produce high quality holes. The objective of this study is to optimise the parameters such as thickness of panel, spindle speed, feed rate and drill size to get the optimum thrust force, so as to get good quality of holes during drilling MDF using design of experiments. The thrust force is measured by using drilling dynamometer. Response surface model is developed to predict the thrust force for drilling of MDF panels within the range of variables considered. From the response surface analysis, it is found that the drill sizes are very sensitive over the range of speed. Taguchi method and analysis of variance are employed to study the thrust force in drilling of MDF panels using (K20) carbide tools are presented in this study.
7 citations
TL;DR: The results show that the modified PCA-based UT approach leads to better optimisation performance than that obtained by the earlier researchers, which implies that the modifications of this approach can be very useful technique for optimising the EDM processes.
Abstract: One of the most extensively used non-traditional machining processes is electrical discharge machining (EDM). Achieving the best quality performance from the EDM process requires simultaneous optimisation of multiple performance characteristics (responses). Researchers have applied different techniques of multi-response optimisation for optimising the EDM processes. But those approaches do not take care of the possible correlation between the responses, whereas some of the responses of EDM process are usually correlated. In recent times, different principal component analysis (PCA)-based approaches for multi-response optimisation have been proposed, which take into account the correlations among the responses. One of such approaches is the PCA-based utility theory (UT) approach. This paper highlights one weakness of the PCA-based UT approach and proposes the necessary modifications. Two sets of past experimental data on EDM processes are analysed using the modified procedure. The results show that the mod...
7 citations
TL;DR: A good improvement is observed by multi response optimisation method using Taguchi’s loss function for electro discharge machining of Inconel 718 under orbital tool actuation.
Abstract: In present study, a multi response optimisation method using Taguchi’s loss function is proposed for electro discharge machining of Inconel 718 under orbital tool actuation. Orbital tool radius and orbital speed along with machining parameters viz. current, gap voltage, pulse on time and duty factor are considered at five levels as input parameters. Twenty five experiments as per Taguchi’s L25 orthogonal array are conducted to measure material removal rate, tool wear rate and surface roughness. A combination of input parameters is devised which provides combined optimisation of the responses namely material removal rate, tool wear rate and surface roughness. Multi response signal to noise ratio is used to measure combined effect of all responses. Analysis of variance (ANOVA) is employed to identify the level of importance of the input parameters on the multiple performance characteristics considered. Confirmation experiments have been conducted to identify the effectiveness of the proposed optimisation method. A good improvement is observed by multi response optimisation method.
7 citations
TL;DR: This paper proposes automatic control strategies and implementation methods of integrated all plant system in copper pyrometallurgy based on the real projects named Chambishi Copper Smelter in Zambia and Kunpeng Copper Smalter in China.
Abstract: Bath smelting technique is known to be effectively adopted in copper smelting. This paper proposes automatic control strategies and implementation methods of integrated all plant system in copper pyrometallurgy based on the real projects named Chambishi Copper Smelter in Zambia and Kunpeng Copper Smelter in China. We design and implement an all plant system which consists of oxygen-enriched air and top-blown furnace system, converter system, anode furnace system, electrical furnace system and some auxiliary system, such as waste heat boiler system, waste heat power generation system and sulphuric acid making system. Meanwhile, the configuration of the integrated control system based on Rockwell ControlLogix and Emerson DeltaV is also introduced. Our experiments show a remarkable result that the production process is steady and the equipments are stable and safe.
TL;DR: New computational methods for solving fully fuzzy linear systems (FFLS) when the coefficient matrix is negative are proposed and are illustrated by solving numerical examples.
Abstract: In this paper, new computational methods for solving fully fuzzy linear systems (FFLS) when the coefficient matrix is negative are proposed. The proposed methods are very easy to understand and to apply for solving fully fuzzy linear systems occurring in real life situations. The methods are illustrated by solving numerical examples.
TL;DR: This paper presents the optimisation of turning operation parameters on Al-Cu/TiB2 in-situ metal matrix composites (MMCs) with multiple performance characteristics using desirability function.
Abstract: This paper presents the optimisation of turning operation parameters on Al-Cu/TiB2 in-situ metal matrix composites (MMCs) with multiple performance characteristics using desirability function The material used for the work is synthesised by casting route and followed by homogenisation and extrusion The 3 3 factorial design is applied to design the experimental runs Desirability function (DF) is used to optimise the cutting parameters namely cutting speed, feed and depth of cut on multiple performance characteristics such as cutting force components, surface roughness and material removal rate The effect of parameters and optimum value of overall response are also identified using the response surface methodology (RSM)
TL;DR: A leanness monitoring system is presented in this paper to evaluate, in real time, the leanness of a manufacturing facility to demonstrate its effectiveness for real-world manufacturers.
Abstract: A leanness monitoring system (LMS) is presented in this paper to evaluate, in real time, the leanness of a manufacturing facility. This LMS has two major components, an online RFID-based lead-time monitoring system (ORLMS) and a leanness assessment system (LAS). The ORLMS determines how much time a product spends in the system’s inventory, and the LAS uses this information to determine the company’s leanness score. Following laboratory testing, this LMS was successfully implemented in a local manufacturing facility to demonstrate its effectiveness for real-world manufacturers. This local manufacturer received a low leanness score upon the initial implementation of this system, causing the managers of the company to review their current system. Their review identified substantial sources of waste in the current system that had to be eliminated or minimised in order to improve the overall efficiency. A series of Kaizen events were then initiated to minimise those sources of waste. After successfully implementing those Kaizen events, the LMS was used to generate a new leanness score showing significant improvements in their manufacturing process.
TL;DR: A conceptual framework for economics ofquality (EOQ) principle analysis based on comprehensive cost of quality (CCQ) which improved the traditional cost ofQuality (COQ) model is presented.
Abstract: This paper presents a conceptual framework for economics of quality (EOQ) principle analysis based on comprehensive cost of quality (CCQ) which improved the traditional cost of quality (COQ) model. Firstly, the paper establishes the CCQ model. Then, relationship schemes between quality level and relevant costs are given. At last, the value engineering is introduced into the process of EOQ principle analysis and the mathematical model of EOQ principle analysis is established by compositing the value orientation from both enterprise and customer. The most appropriate quality level interval can be gotten by the EQQ model which is helpful for enterprises to select the most suitable quality level in market competition environment, and maximise revenue for both sides of supply and demand.
TL;DR: The various process parameters of WEDM like pulse on time (TON), pulse off time (TOFF), spark gap set voltage (SV), peak current (IP), wire feed (WF) and wire tension (WT) have been optimised to get their maximum impact on gap current so as to obtain maximum material removal rate for hot die steel (H-11) material.
Abstract: Electrical discharge wire cutting, more commonly known as wire electrical discharge machining (WEDM), is a spark erosion process used to produce complex two- and three-dimensional shapes through electrically conductive work pieces by using wire electrode. The practical technology of the WEDM process is based on the conventional EDM sparking phenomenon utilising the widely accepted non-contact technique of material removal. In this paper, the various process parameters of WEDM like pulse on time (TON), pulse off time (TOFF),spark gap set voltage (SV), peak current (IP), wire feed (WF) and wire tension (WT) have been optimised to get their maximum impact on gap current (Ig) so as to obtain maximum material removal rate for hot die steel (H-11) material. Experimental investigation based on Taguchi’s L-27 orthogonal array has been done. Signal-to-noise (S/N) ratio, analysis of variance (ANOVA) and various plots are generated to predict the optimal set of process parameters to maximise the gap current. The confirmation experiments have also been conducted to validate the results obtained by Taguchi technique.
TL;DR: This study aimed to integrate different inventory and cost models, correct and establish the current VMI decision mechanism, and construct two quantification models of customisation to provide a reference for the notebook computer and steel production industries for the implementation of VMI.
Abstract: Enterprises often increase their inventory to satisfy unexpected demand increases, but the continuous increase of inventory costs weakens their future competitiveness. Thus, the vendor managed inventory (VMI) method was developed based on the interaction of credible information between the upstream and downstream manufacturers. This study aimed to integrate different inventory and cost models, correct and establish the current VMI decision mechanism, and construct two quantification models of customisation to provide a reference for the notebook computer and steel production industries for the implementation of VMI. The researched models can provide a comparison of the costs and degrees of quantified customisation of different industries before and after the implementation of VMI, and relevant policy data can serve as a decision reference for enterprises. The differences and similarities of different industries, as well as their management implications were discussed, which can provide a reference for related industries.
TL;DR: A mathematical model has been formulated by applying Taguchi method in order to estimate the machining characteristics such as MRR, EWR and SR, and the significant process parameters that affect the output characteristics were identified.
Abstract: The newly engineered hybrid metal matrix composite reinforced with SiC and graphite (Gr) particles were prepared by stir casting method. Electrical discharge machining (EDM) was employed to machine hybrid MMC with copper electrode. A plan of experiments based on Taguchi method was used to acquire the data in a controlled way. An orthogonal array and analysis of variance were employed to investigate the influence of process parameters viz., pulse current, gap voltage, pulse on time and pulse off time on material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR). The objective was to identify the significant process parameters that affect the output characteristics. Further, a mathematical model has been formulated by applying Taguchi method in order to estimate the machining characteristics such as MRR, EWR and SR.
TL;DR: A simple structural partitioning algorithm of design structure matrix, basing on dependency relationships among tasks via tracing the input tasks chain is introduced, which could partition the development processes into different execution clusters to improve the concurrence and collaboration of product development tasks.
Abstract: The difficulties in design collaboration stem from the managerial complexity in terms of the interactions and interdependencies among the respective development activities. This paper introduces a simple structural partitioning algorithm of design structure matrix, basing on dependency relationships among tasks via tracing the input tasks chain. The algorithm is composed of four modules, which are used to organise and transform design tasks into input model, cycle model, group model and execution ordering model correspondingly. Cycle matrix is created to partition the task set into individual groups that are with different interdependency levels. Coupled and unordered individual task set could be converted into uncoupled, ordered task clusters. The illustrative case studies on automotive industry has verified the efficiency of the proposed algorithm, which could partition the development processes into different execution clusters to improve the concurrence and collaboration of product development tasks.
TL;DR: The methodology of the MTS algorithm can easily solves pattern-recognition problems, and is computationally efficient as well as the TSO algorithm is a simple and efficient procedure for constructing a model of a dynamic product designs system (DPDS).
Abstract: This work presents a novel algorithm, the Mahalanobis-Taguchi System (MTS), which offers the Mahalanobis-Taguchi System (MTS) method for product parameter selections and presents the two steps optimal algorithm (TSO) for a dynamic product design.
The MTS algorithm is successful and effective for pattern recognitions from the literature reviews. Studies using a dynamic environment for data-mining in product designs are scarce. And, the TSO method can solve dynamic condition problems. Therefore, this study integrates the MTS and TSO algorithm to create the novel MTS-TSO algorithm that can be applied to construct a product designs model for dynamic environments. From the results of the experiment, we find that the methodology of the MTS algorithm can easily solves pattern-recognition problems, and is computationally efficient as well as the TSO algorithm is a simple and efficient procedure for constructing a model of a dynamic product designs system (DPDS).
TL;DR: The potentials of carrying out ergonomic investigation on taxicabs operators through direct involvement of major stakeholders in the transportation business has been demonstrated and found very necessary in the development of user friendly vehicle for taxicab operator in Nigeria.
Abstract: This work investigates the opinion of operators of taxicabs in Nigeria on some ergonomic factors influencing their safety, comfort and performance while driving. Participatory ergonomic intervention approach (PEIA) and work area analysis were used in the evaluation of ergonomic suitability of driver-vehicle system. 1,406 drivers were sampled randomly in the study area and a minimum responds rate of 92% was achieved. Significant among the WRMD observed at the three body segments are discomforts at the right and left wrists, upper, middle and lower back, buttock and neck of the operators. The potentials of carrying out ergonomic investigation on taxicab operators through direct involvement of major stakeholders in the transportation business has been demonstrated and found very necessary in the development of user friendly vehicle for taxicab operator in Nigeria.
TL;DR: The outcomes of these experiments indicate the application feasibility of the proposed optimisation technique for continuous improvement in electrochemical deburring process.
Abstract: In the present study, a multi-objective optimisation technique, based on Taguchi method in combination with grey relational analysis, has been proposed and adopted in search of an optimal parametric combination during electrochemical deburring (ECD) of die steel. Deburring voltage, gap between tool and burr tip, electrolyte concentration and time are considered as input parameters when the performance characteristics include change in burr height and base material removal are taken into consideration. Taguchi’s L16 orthogonal array design is chosen for the experiments. An optimal parameter combination of ECD process is obtained by grey relational grade acquired from grey relational analysis (GRA). Optimal ECD parameters for multiple performance characteristics have been derived by the Taguchi method using grey relational grade as the quality index. Optimal setting has been validated using confirmatory test. Considering these ECD parameters, verification of the improvement in the quality characteristics was made with a confirmation test with respect to the chosen initial or reference parameter setting. The outcomes of these experiments indicate the application feasibility of the proposed optimisation technique for continuous improvement in electrochemical deburring process.
TL;DR: An optimisation model is formulated for selecting machining datum and tolerances and implemented with an evolutionary algorithm namely differential evolution (DE) in process planning.
Abstract: The main purpose of tolerance charting is to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost objectives. The selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining time. In order to reduce the machining time and cost, an optimum process plan should be designed. Due to the existence of intermediate machining operation, a large number of intermediate part features may be used as the datum for the machining of others. This paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning. In this work, an optimisation model is formulated for selecting machining datum and tolerances and implemented with an evolutionary algorithm namely differential evolution (DE).
TL;DR: The research work deals with the analysis of the process parameters such as wheel speed, table feed and depth of cut, as the influential factors, on the force components, grinding specific energy and surface roughness values based on Taguchi's experimental design method, which provides valuable insight into the grindability aspects of the composite ceramic (AlSiTi) especially under cryogenic environment.
Abstract: Ceramic materials are getting widely used in many engineering applications These ceramic materials need to be ground to obtain desired dimensional accuracy and surface finish for engineering components However, the ground ceramic components mostly contain surface/subsurface microcraks, temperature induced residual tensile stresses and other types of surface damages The performance and reliability of ground ceramic components are often influenced by grinding induced damages Thus cooling and lubrication is especially important to ensure superior workpiece quality in grinding The current study aims to improve the grindability aspects of the newly developed composite ceramic (AlSiTi) by application of cryogen in the form of liquid nitrogen jet The research work deals with the analysis of the process parameters such as wheel speed, table feed and depth of cut, as the influential factors, on the force components, grinding specific energy and surface roughness values based on Taguchi’s experimental design method Grinding induced surface and subsurface damages have been analysed by using scanning electron microscopy (SEM) The results have been compared with the results obtained in the dry grinding The analysis of result provides valuable insight into the grindability aspects of the composite ceramic (AlSiTi) especially under cryogenic environment
TL;DR: It is recommended that for sleeper class reservation, Indian railways should make provision in software to consider anthropometric factors of a person i.e., before allotting the side lower berth; person's age, height and shirt size could be asked.
Abstract: Present study investigates the design of side lower berth and assessed comfort level and lower back pain for passengers during long travelling in sleeper class coaches of Indian trains. This study included direct observation and interview through a questionnaire of 200 adult passengers during a long travel in different train. The results reveal that 84% of AC sleeper and 88% of non-AC sleeper passengers feel the journey during day time as less comfortable. It is recommended that for sleeper class reservation, Indian railways should make provision in software to consider anthropometric factors of a person i.e., before allotting the side lower berth; person’s age, height and shirt size could be asked. It is recommended that side lower berth should be allotted to persons with height ≤ 170 cm and interscye breadth ≤ 40 cm, e.g., teenagers, children rather than old aged people and obese person.
TL;DR: A welding mechanisms selection using analytic hierarchy process (AHP), technique for order preference by similarity to ideal solution (TOPSIS) and graph theory and matrix approach (GTMA) for a ship building industry which uses four welding mechanisms for similar applications is presented.
Abstract: The selection of an optimal welding mechanism for engineering design problems from among two or more alternatives on the basis of two or more attributes is multiple attribute decision making problems. Various approaches have been proposed in the past to help address the issue of material selection. Welding techniques are mainly used to improve the service life of engineering components and to reduce their cost either by rebuilding repeatedly or by fabricating in such a way as to produce a composite wall section. Therefore, proper selection of welding mechanism for particular application is a problem in industry.
This paper presents a welding mechanisms selection using analytic hierarchy process (AHP), technique for order preference by similarity to ideal solution (TOPSIS) and graph theory and matrix approach (GTMA) for a ship building industry which uses four welding mechanisms for similar applications.
TL;DR: This study applied IDEF0, analytical network process, performance matrix analysis, and system simulation to propose a management model, which integrates DFSS with the development processes of new products for improvement and reengineering, which can reduce new product development process time by 30.24%.
Abstract: In the trend of increasingly fierce global competition of optical communications industries, design for Six Sigma (DFSS) provides a systematic management approach using tools, training, and measurement methods to achieve products, services, and process designs that meet customer expectations. Taking transnational optical communications original equipment manufacturer (OEM) as the research objects, this study applied IDEF0, analytical network process (ANP), performance matrix analysis, and system simulation to propose a management model, which integrates DFSS with the development processes of new products for improvement and reengineering. The proposed research analysis model can reduce new product development process time by 30.24%. The findings of this research can serve as reference for the introduction of new product development process performance improvements.
TL;DR: A novel MEMS inertial switch is designed and characterised for the purpose of crash sensing for ammunition systems in which high-speed response is required for triggering the detonator.
Abstract: In this paper, a novel MEMS inertial switch is designed and characterised for the purpose of crash sensing for ammunition systems in which high-speed response is required for triggering the detonator. In order to keep the same sensitivity in different direction, the structure of an annular proof-mass suspended by four serpentine flexures is designed. The motion of the inertial switch is analysed by dynamic simulation, the simulation results show that the response time is 0.142 ms and the contact time of the switch is about 5 us under the 700 g threshold acceleration. It illustrates that the response time is short enough and the impact time satisfy the ask. The von-mises stress of the structure is calculate, the maximum stress occurs in the serpentine flexures, the value is 60.61 MPa, much less than the yield strength of the silicon, the switch can be used time after time. The static behaviour of the serpentine flexures is researched, and the width of the serpentine flexure is determined as the most important factor to the threshold acceleration. With the width of the serpentine flexure increasing, the threshold of the switch will increase, and the response time of the inertial switch will decrease.
TL;DR: The current paper introduces the whole process of the new CACSP, including structural design of the sieve plate, material's selection, processing method for sieve bar and grate, welding and stress relief treatment.
Abstract: The circular arc corrugated sieve plate (CACSP) can significantly improve the performance than the common sieve plate which is easy to plug and has a short life with many materials leaking through the sieve plate and then makes the subsequent treatment process complexable. The current paper introduces the whole process of the new one, including structural design of the sieve plate, material’s selection, processing method for sieve bar and grate, welding and stress relief treatment. It is the first-hand technology of manually manufacturing the CACSP.