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Showing papers on "Machining published in 2013"


Journal ArticleDOI
TL;DR: In this article, the state-of-the-art in predictive performance models for machining operations is presented, and a critical assessment of the relevant modelling techniques and their applicability and/or limitations for the prediction of the complex machining operation performed in industry.

622 citations


Journal ArticleDOI
TL;DR: In this article, the authors focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed.
Abstract: Nickel-based superalloy is widely employed in aircraft engines and the hot end components of various types of gas turbines with its high strength, strong corrosion resistance and excellent thermal fatigue properties and thermal stability. However, nickel-based superalloy is one of the extremely difficult-to-cut materials. During the machining process, the interaction between the tool and the workpiece causes the severe plastic deformation in the local area of workpiece, and the intense friction at the tool–workpiece interface. The resulting cutting heat coupled with the serious work hardening leads to a series of flaws, such as excessive tool wear, frequent tool change, short tool life, low productivity, and large amount of power consumption etc., in which the excessive tool wear has become one of the main bottlenecks that constraints the machinability of nickel-based superalloys and its wide range of applications. In this article, attention is mainly focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed. The survey of existing works has revealed several gaps in the aspects of tool self-organizing process based on the non-equilibrium thermodynamics, tool wear considering the tool nose radius, thermal diffusion layer in coated tools, tool life prediction based on the thermal–mechanical coupling, and industrial application of tool wear online monitoring devices. The review aims at providing an insight into the tool wear characteristics in the machining of nickel-based superalloys and shows the great potential for further investigations and innovation in the field of tool wear.

409 citations


Journal ArticleDOI
TL;DR: In this paper, the fatigue properties of Ti-6Al-4V specimens and components produced by Electron Beam additive manufacturing were evaluated and it was found that the fatigue performance of specimens produced by additive manufacturing is significantly lower than that of wrought material due to defects such as porosity and surface roughness.
Abstract: This research evaluates the fatigue properties of Ti-6Al-4V specimens and componentsproduced by Electron Beam additive manufacturing. It was found that the fatigue per-formance of specimens produced by additive manufacturing is significantly lower thanthat of wrought material due to defects such as porosity and surface roughness. However,evaluation of an actual component subjected to design fatigue loads did not result in pre-mature failure as anticipated by specimen testing. Metallography, residual stress, staticstrength and elongation, fracture toughness, crack growth, and the effect of post process-ing operations such as machining and peening on fatigue performance were alsoevaluated. [DOI: 10.1115/1.4025773]Keywords: additive manufacturing, electron beam, titanium, fatigue, fracture

354 citations


Journal ArticleDOI
TL;DR: In this article, the state-of-the-art in electrochemical and electro discharge machining processes is reviewed, which reflect the state of the art in academic and industrial research and applications.

310 citations


Journal ArticleDOI
TL;DR: In this paper, the authors presented the findings of experimental investigations into the effects of cutting speed, feed rate, depth of cut and nose radius in CNC turning of 7075 Al alloy 15-wt% SiC (particle size 20-40μm) composite.

303 citations


Journal ArticleDOI
TL;DR: Comparison between the results obtained by the proposed algorithms and those obtained by different optimization algorithms shows the better performance of the proposed algorithm.

289 citations


Journal ArticleDOI
TL;DR: In this article, a multi-objective optimization method based on weighted grey relational analysis and response surface methodology is applied to optimize the cutting parameters in milling process in order to evaluate trade-offs between sustainability, production rate and cutting quality.

285 citations


Journal ArticleDOI
TL;DR: A mathematical model for electrical energy use in machining was developed addressing the limitations of existing models and validated on a milling tool path as discussed by the authors, which provides valuable information on the impact of machine modules, spindles, auxiliary units and motion states on the electrical energy demand budget for a machine tool resource.

276 citations


Journal ArticleDOI
TL;DR: In this article, a review of the available literature on lubrication techniques during machining processes was conducted, and the performance and drawback of each technique were highlighted based on the machining conditions.

241 citations


Journal ArticleDOI
TL;DR: In this article, the authors suggest that future researches should also focus on robot machining efficiency analysis, stiffness map-based path planning, robotic arm link optimization, planning, and scheduling for a line of machining robots.
Abstract: Early studies on robot machining were reported in the 1990s. Even though there are continuous worldwide researches on robot machining ever since, the potential of robot applications in machining has yet to be realized. In this paper, the authors will first look into recent development of robot machining. Such development can be roughly categorized into researches on robot machining system development, robot machining path planning, vibration/chatter analysis including path tracking and compensation, dynamic, or stiffness modeling. These researches will obviously improve the accuracy and efficiency of robot machining and provide useful references for developing robot machining systems for tasks once thought to only be capable by CNC machines. In order to advance the technology of robot machining to the next level so that more practical and competitive systems could be developed, the authors suggest that future researches on robot machining should also focus on robot machining efficiency analysis, stiffness map-based path planning, robotic arm link optimization, planning, and scheduling for a line of machining robots.

233 citations


Journal ArticleDOI
TL;DR: In this article, the effect of cutting parameters on drilling thrust force and torque during the machining process was studied both experimentally and numerically. And a 3D finite element model of drilling in a composite laminate, accounting for complex kinematics at the drill-workpiece interface is developed.
Abstract: Drilling carbon fibre reinforced plastics (CFRPs) is typically cumbersome due to high structural stiffness of the composite and low thermal conductivity of plastics. Resin-rich areas between neighbouring plies in a laminate are prone to drilling-induced delamination that compromises structural integrity. Appropriate selection of drilling parameters is believed to mitigate damage in CFRPs. In this context, we study the effect of cutting parameters on drilling thrust force and torque during the machining process both experimentally and numerically. A unique three-dimensional (3D) finite element model of drilling in a composite laminate, accounting for complex kinematics at the drill-workpiece interface is developed. Cohesive zone elements are used to simulate interply delamination in a composite. Experimental quantification of drilling-induced damage is performed by means of X-ray micro computed tomography. The developed numerical model is shown to agree reasonably well with the experiments. The model is used to predict optimal drilling parameters in carbon/epoxy composites.

Journal ArticleDOI
TL;DR: In this paper, the behavior of Polycrystalline Diamond (PCD) tools when machining Ti-6Al-4V alloy at high speed conditions using high pressure coolant supplies was investigated.

Journal ArticleDOI
TL;DR: In this article, a mathematical prediction model of the surface roughness of AISI 410 steel was developed in terms of feed rate, tool nose radius, cutting speed and depth of cut.

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the influence of process parameters on the results, such as MQL nozzle position and cutting parameters (cutting speed, depth of cut and feed) on turning performance.

Journal ArticleDOI
TL;DR: In this article, a surface roughness model was proposed for hard turning by exploiting the response surface methodology (RSM) and the main input parameters of this model are the cutting parameters such as cutting speed, feed rate, depth of cut and tool vibration in radial and in main cutting force directions.

Journal ArticleDOI
15 Jan 2013-Wear
TL;DR: In this article, the analysis of tool wear mechanisms in finishing turning of Inconel 718, one of the most used Ni alloys, both in wet and dry cutting, is presented.

Journal ArticleDOI
30 Aug 2013-Wear
TL;DR: In this article, the effects of cryogenic cooling on tool-wear rate and progressive tool wear were examined by comparing the new findings from cryogenic machining with results obtained from minimum quantity lubrication (MQL) and dry machining conditions.

Journal ArticleDOI
TL;DR: In this article, an improved energy consumption model is presented to characterize the relationship between process variables and energy consumption for material removal processes based on thermal equilibrium and empirical modelling, which can be used effectively for the calculation of the total energy required by a machine tool system for face milling of a part.

Journal ArticleDOI
TL;DR: In this article, a decision model including extended PROMETHEE II (EXPROM2) (preference ranking organization method for enrichment evaluation), TOPSIS (technique for order performance by similarity to ideal solution) and VIKOR (VIsekriterijumsko KOmpromisno Rangiranje) methods were used for the selection of the best material for the tool holder used in hard milling.

Journal ArticleDOI
TL;DR: In this paper, the edge rounding wear in carbon fiber reinforced composites (CFRP) was investigated using three different drill types: uncoated, diamond-coated and AlTiN coated carbide (WC-Co).

Journal ArticleDOI
TL;DR: An optimization approach based on artificial bee colony algorithm for optimal selection of cutting parameters in multi-pass turning operations is presented and a comparison of evolutionary-based optimization techniques to solve multi- pass turning optimization problems is presented.

Journal ArticleDOI
TL;DR: It is concluded that cryogenic cooling has demonstrated significant improvements in machinability by changing the material properties of the cutting tool and/or workpiece material at the cutting zone, altering the coefficient of friction and reducing the cutting temperature.
Abstract: This article is a state-of-the-art review of the use of cryogenic cooling using liquefied gases in machining. The review is classified into two major categories, namely cryogenic processing and cryogenic machining. In cryogenic processing also known as cryo-processing, the cutting tool material is subjected to cryogenic temperatures as a part of its heat treatment process. The majority of the reported studies identify that cryo-processing can considerably increase cutting tool life especially for high speed steel tools. It also identified that, in cryogenic machining, a cryogen is used as a cooling substance during cutting operations. The cryogen can be used to freeze the workpiece material and/or cutting tool. This article concludes that cryogenic cooling has demonstrated significant improvements in machinability by changing the material properties of the cutting tool and/or workpiece material at the cutting zone, altering the coefficient of friction and reducing the cutting temperature.

Journal ArticleDOI
TL;DR: In this paper, diamond turning of single crystal 6H-SiC was performed at a cutting speed of 1m/s on an ultra-precision diamond turning machine (Moore Nanotech 350 UPL) to elucidate the microscopic origin of ductile-regime machining.
Abstract: In this experimental study, diamond turning of single crystal 6H-SiC was performed at a cutting speed of 1 m/s on an ultra-precision diamond turning machine (Moore Nanotech 350 UPL) to elucidate the microscopic origin of ductile-regime machining. Distilled water (pH value 7) was used as a preferred coolant during the course of machining in order to improve the tribological performance. A high magnification scanning electron microscope (SEM FIB- FEI Quanta 3D FEG) was used to examine the cutting tool before and after the machining. A surface finish of Ra=9.2 nm, better than any previously reported value on SiC was obtained. Also, tremendously high cutting resistance was offered by SiC resulting in the observation of significant wear marks on the cutting tool just after 1 km of cutting length. It was found out through a DXR Raman microscope that similar to other classical brittle materials (silicon, germanium, etc.) an occurrence of brittle-ductile transition is responsible for the ductile-regime machining of 6H-SiC. It has also been demonstrated that the structural phase transformations associated with the diamond turning of brittle materials which are normally considered as a prerequisite to ductile-regime machining, may not be observed during ductile-regime machining of polycrystalline materials.

Journal ArticleDOI
TL;DR: In this paper, the grey relational theory and Taguchi optimization technique was used to optimize the cutting parameters in wire EDM for stainless steel 304, a work piece, brass wire of 0.25mm diameter used as a tool and distilled water is used as dielectric fluid.

Journal ArticleDOI
TL;DR: In this paper, a specific cutting-energy based model is presented to predict the ductile-brittle transition point in ultra-precision machining of brittle materials, where the energy expended in brittle and ductile modes of machining is modeled as a function of work-material intrinsic properties, tool geometry and process parameters.
Abstract: There is a distinct transition in the mode of material removal in machining of brittle materials if the undeformed chip thickness is below a critical threshold of submicron scale It is believed that at such small scale of material removal, the energy required to extend pre-existing flaws in the microstructure of brittle material exceeds the energy required to mobilize the micro-structural dislocations and hence plastic deformation serves as the dominant mode of material removal It is postulated that a transition in the mode of material removal in machining of brittle materials is accompanied by a corresponding shift in the representative mode of energy expenditure Hence, machining energy is a viable parameter to characterize the modes of material removal in machining of a brittle material This paper presents a specific cutting-energy based model to predict the ductile–brittle transition point in ultra-precision machining of brittle materials The energy expended in brittle and ductile modes of machining is modeled as a function of work-material intrinsic properties, tool geometry and process parameters The transition point is identified in terms of undeformed chip thickness at which the mode of energy undergoes a transition from the plastic deformation based one to the fracture based one The validity of the proposed model is verified by single-edge cutting tests on single-crystal silicon and BK7 glass The experimental results are found in good agreement with model results

Journal ArticleDOI
30 Jul 2013-Wear
TL;DR: In this paper, the wear rate, wear pattern and wear mechanism of two kinds of nanocomposite coatings, (nc-AlTiN)/(a-Si 3 N 4 ) and (ncAlCrN/(a)-Si 3N 4 ), in dry and MQL conditions were investigated.

Journal ArticleDOI
TL;DR: In this article, an effective approach, Taguchi grey relational analysis, has been applied to experimental results of wire cut electrical discharge machining (WEDM) on Inconel 825 with consideration of multiple response measures.
Abstract: In this paper, an effective approach, Taguchi grey relational analysis, has been applied to experimental results of wire cut electrical discharge machining (WEDM) on Inconel 825 with consideration of multiple response measures. The approach combines the orthogonal array design of experiment with grey relational analysis. The main objective of this study is to obtain improved material removal rate, surface roughness, and spark gap. Grey relational theory is adopted to determine the best process parameters that optimize the response measures. The experiment has been done by using Taguchi’s orthogonal array L36 (21 × 37). Each experiment was conducted under different conditions of input parameters. The response table and the grey relational grade for each level of the machining parameters have been established. From 36 experiments, the best combination of parameters was found. The experimental results confirm that the proposed method in this study effectively improves the machining performance of WEDM process.

Journal ArticleDOI
TL;DR: In this article, the gray relational analysis method was used to optimize the micro-electrical discharge machining (EDM) drilling process of Inconel 718 nickel-based superalloy with multiperformance characteristics.
Abstract: In this study, the gray relational analysis method was used to optimize the micro-electrical discharge machining (EDM) drilling process of Inconel 718 nickel-based superalloy with multiperformance characteristics. In order to determine the best factor level conditions, a full factorial experimentation was performed based on the micro-EDM parameters of discharge current and pulse duration. The hole taper ratio (H t) and hole dilation (H d) were the measured performances. By analyzing the used optimization results, it was observed that the pulse current was more efficient on performance characteristics than pulse duration. The characteristics of drilled surfaces and tool electrodes were also investigated by using optical and scanning electron microscopy. A linear regression model was developed to estimate the performances. The measured and model results were in a good agreement with correlation coefficients of R 2 = 0.897 and R 2 = 0.929 for H t and H d, respectively. It is concluded that the EDMed hole quality can be improved effectively through this approach.

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a new design for a resonant mode 2D tertiary motion generator (TMG) that can deliver the required elliptical trajectory at an ultrasonic frequency.
Abstract: The elliptical vibration texturing process is an innovative machining method for the fast generation of textured surfaces. It adds a tertiary motion component to the tool tip, which introduces deliberate elliptical vibrations between the cutting tool and the workpiece. The elliptical locus lies in the plane that is defined by the cutting direction and the radial direction in the turning operation. This paper proposes a new design for a resonant mode 2D tertiary motion generator (TMG) that can deliver the required elliptical trajectory at an ultrasonic frequency. The device works in the resonant mode, with tangential and normal vibrations at a nearly identical resonant frequency. Simulation and experiments were carried out to perform a modal analysis of the system. Different design parameters were adjusted to achieve large vibration amplitudes in both tangential and normal directions. The elliptical vibration texturing process was implemented by integrating the newly developed TMG into a turning operation. Preliminary test results of dimple array patterns are presented that validate the performance and principle of the proposed design.

Journal ArticleDOI
TL;DR: In this article, the authors investigated the cooling and/or lubrication capabilities of a nitrogen jet under extreme contact conditions using a dedicated tribometer and provided quantitative data regarding friction coefficient under dry and cryogenic conditions that can be implemented in numerical cutting models.