Journal ArticleDOI
Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough turning operation
TLDR
In this article, the effect of input parameters: nose radius, cutting speed, feed rate and depth of cut along with their interactions were studied on the response parameters viz. power factor (PF), active power consumed by the machine (APCM), active energy consumed by a machine (AECM), energy efficiency (EE), surface roughness (Ra) and material removal rate (MRR).About:
This article is published in Journal of Cleaner Production.The article was published on 2017-10-15. It has received 119 citations till now. The article focuses on the topics: Taguchi methods.read more
Citations
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Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review
Raman Kumar,Sehijpal Singh,Paramjit Singh Bilga,Jatin,Jasveer Singh,Sunpreet Singh,Maria-Luminiţa Scutaru,Catalin I. Pruncu,Catalin I. Pruncu +8 more
TL;DR: In this article, a literature review is conducted to classify the articles on EWM applications in machining operations, which included 65 academic articles from different journals, books, and conferences since the year 2009.
Journal ArticleDOI
Characterization of three‐dimensional printed thermal‐stimulus polylactic acid‐hydroxyapatite‐based shape memory scaffolds
Gurminder Singh,Sunpreet Singh,Chander Prakash,Raman Kumar,Ranvijay Kumar,Seeram Ramakrishna +5 more
Journal ArticleDOI
Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques
TL;DR: A simple multi-criteria decision-making (MCDM) methodology based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is presented to choose an industrial robot for the arc welding operation and showed that the MCDM approaches for robot selection are quite useful.
Journal ArticleDOI
A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study
TL;DR: This paper attempts to extend multi-criteria decision making (MCDM) method to solve the PCM selection problem and showed that Ba(OH)2·8H2O is the best material for the given case and the GSHP integrated with PCTS system has better economic performance compared to the GSI system.
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A systematic literature review on machine tool energy consumption
TL;DR: It is observed that the research focus has shifted towards micro level classification of machining energy including transient states and the use of micro analysis, energy benchmarking and standardization of energy assessment indices require more research.
References
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Journal ArticleDOI
Decision making with the analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales that measure intangibles in relative terms.
Journal Article
Decision Making with the Analytic Hierarchy Process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales, these scales are these scales that measure intangibles in relative terms.
Book
Taguchi techniques for quality engineering : loss function, orthogonal experiments, parameter and tolerance design
TL;DR: The Economics of Reducing Variation The design of Experiment Process as discussed by the authors is a well-known technique for reducing variance in the design of experiment process and is used in many experiments.
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Energy consumption model and energy efficiency of machine tools: a comprehensive literature review
TL;DR: In this article, a comprehensive literature review is needed because some related concepts are not clear and the precision of models still need to be promoted in this field, and conclusions are drawn for the future study in two major points: 1) the accuracy of current energy consumption models could be improved through introducing the correlation analysis of machine tools, parts, tools and processing condition.
Journal ArticleDOI
Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites
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.