Applying Experimental Research Management to a Technological Process using Taguchi's Method
TL;DR: In this paper, an experimental research management applied to a technological process whose final purpose was to determine an equation of the surface roughness depending on the process parameters, obtained by the Al7136 end milling process.
About: This article is published in Procedia - Social and Behavioral Sciences.The article was published on 2018-01-01 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Surface roughness & Taguchi methods.
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TL;DR: An improved genetic algorithm approach to optimise high transmission optical filter is described and Taguchi integrated genetic method helped in finding the best matching design with 9 design experiments.
10 citations
DOI•
25 Aug 2020
TL;DR: In this paper, a study was conducted at an electronic component company located in Bekasi, Indonesia to determine the variables of the factors that can affect the retention force value of bullet type terminal products, using the Taguchi method experiment.
Abstract: This research was conducted at an electronic component company located in Bekasi, Indonesia. Quality is a characteristic of this company, with the company's mission, one of which is eliminating customer claims. The application of the Six Sigma DMAIC method is expected to be used as a guideline for making durable product quality and reducing the high variation in the manufacturing process for bullet type products. This study aims to determine the variables of the factors that can affect the retention force value of bullet type terminal products, using the Taguchi method experiment. The research results with the Taguchi method experiment found that three variables affect the product retention force value, namely the largest outer diameter dimension, the most significant input diameter size dimension, and the smallest length position size dimension. After monitoring and data collection on the retention force dimension, it was found that the overall Cp process capability was 3.38, and Cpk was 1.58, so it could be said that the machine performance was excellent and stable.
4 citations
Cites methods from "Applying Experimental Research Mana..."
...The Taguchi method is better than the classical experimental method, with the next step, namely determining the value of the Signal/Noise ratio ability (Pop et al., 2018)....
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29 Nov 2022-Proceedings Of The Institution Of Mechanical Engineers, Part E: Journal Of Process Mechanical Engineering
TL;DR: In this article , an orthogonal matrix of Taguchi Design of Experiments (DoEs) was applied to identify the best arrangement of FDM process parameters, and different values of bed, chamber, and nozzle temperatures, print speed, and layer thickness were thoroughly examined for the printing of standard tensile specimens.
Abstract: In the past two decades, polyether ether ketone (PEEK) has been vastly used in different industries such as automotive, aerospace, and medical sectors due to its mechanical strength, high heat stability, and excellent chemical resistance. Since this semi-crystalline polymer has a high melting temperature, the standard procedure to select extrusion-based 3D printing working parameters has many challenges to ensure each bespoke product with the best quality. Slight shift from optimum process parameters in fused deposition modeling (FDM) of PEEK has a remarkable impact on the final product quality. The present research addresses the long-standing problem of selecting a working setup quickly and accurately which is not dependent on the user's knowledge. In this article, to identify the best arrangement of FDM process parameters, an orthogonal matrix of Taguchi Design of Experiments (DoEs) is applied. Different values of bed, chamber, and nozzle temperatures, print speed, and layer thickness were thoroughly examined for the printing of standard tensile specimens. The mechanical properties and the fracture morphology of samples are examined in different printing conditions to explore a roadmap tool for designing better process parameters which satisfy mechanical requirements of products. In this study, the interpretation of the experimental results is investigated based on analysis of variance (ANOVA). The obtained results show that the best working set up for nozzle temperature, bed temperature, print speed, and layer thickness are 415°C, 160°C, 50 mm s−1, and 0.2 mm, respectively. This article consists of five sections. After introduction in the first section, the effects of working parameters on the strength of final fused products are investigated in Experimental setup section. The results and the confirmation test are considered in seperate sections, respectively. The research is summarized in the conclusion section.
1 citations
19 May 2019
TL;DR: The objective of this paper is to design an experimental research using the finite element method and establish an orthogonal cutting pattern using this method, which will be necessary to perform the results validation with the experiment upon completion of the simulations.
Abstract: In order to study the impact of cutting parameters on the cutting process, several research methods can be used. The first method generally used to understand the cutting process is the experiment from which clear and precise results are obtained. However, experiments can be very costly and time-consuming. The work piece material can be damaged, the processing centre can be busy and people have to spend a lot of time observing the process and recording the data. The objective of this paper is to design an experimental research using the finite element method. In this respect, an orthogonal cutting pattern will be established using this method. This involves determining the type, the method and technique of FEA application used, the material and the constitutive model of the material to be processed, and of course the selection of the cutting process parameters. Once these data are established and the theoretical models of the experiment are completed, the finite element simulation can be performed. The results obtained by the simulation will be analysed, and, in order to obtain the optimal solutions while at the same time increasing the accuracy of the obtained results, it will be necessary to perform the results validation with the experiment upon completion of the simulations.
01 Aug 2022
TL;DR: Wang et al. as discussed by the authors conducted corresponding research on the electricity customer data, and drew the following conclusions to describe the business characteristics of the electricity value contribution model to reflect the characteristics of different customer groups.
Abstract: With the development of information technology, the amount of data and information we face has become more and more enormous. The technology that emerged at the historic moment is data mining, but traditional mining techniques show many deficiencies for incomplete information systems. Fully implement the group management of customer service data, correctly understand, meet and guide customer needs, pay attention to customer needs, formulate diversified service strategies, and provide customers with safe, reliable, efficient and convenient services. This is the power supply company to establish "good service", Good management, good image "three good service image inevitable requirements. Based on the experimental research method, this paper conducts corresponding research on the electricity customer data, and draws the following conclusions to describe the business characteristics of the electricity value contribution model to reflect the characteristics of different customer groups. The value contribution model is divided into 5 groups: high value contribution group, accounting for 2%; medium value contribution group, accounting for 10%; medium value high overdue risk group, accounting for 10%; ordinary group, accounting for 71%; Low-value contribution group, accounting for 3%.