Journal ArticleDOI
Optimization of energy consumption response parameters for turning operation using Taguchi method
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TLDR
In this paper, an experimental analysis is carried out for the CNC rough turning of EN 353 alloy steel with multi-layer coated tungsten carbide insert, and the effect of important input process variables viz. cutting speed, feed rate, depth of cut and nose radius along with their interactions has been studied on these energy consumption response parameters.About:
This article is published in Journal of Cleaner Production.The article was published on 2016-11-20. It has received 141 citations till now. The article focuses on the topics: Energy consumption & 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
Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough turning operation
TL;DR: 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).
Journal ArticleDOI
A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning
TL;DR: A two-stage knowledge-driven method by integrating data mining techniques and fuzzy logic theory for generalizing the energy-aware parametric optimization for multiple machining configurations, which has a high potential for enhancing energy efficiency and time efficiency in turning system.
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
Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140.
Mustafa Kuntoğlu,Abdullah Aslan,Haci Saglam,Danil Yurievich Pimenov,Khaled Giasin,Tadeusz Mikolajczyk +5 more
TL;DR: This study investigates the optimization of five different sensorial criteria, additional to tool wear (VB) and surface roughness (Ra), via the Tool Condition Monitoring System (TCMS) for the first time in the open literature.
References
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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.
Journal ArticleDOI
A study on energy efficiency improvement for machine tools
TL;DR: In this article, a new acceleration control method is developed to reduce energy consumption by synchronizing spindle acceleration with feed system, which applies for either regular drilling, face/end milling or deep hole machining.
Journal ArticleDOI
Transitioning to sustainable production – part II: evaluation of sustainable machining technologies
TL;DR: In this paper, the authors present a case-study that highlights the importance of sustainable machining technologies in achieving sustainable development objectives, and a technology evaluation was undertaken to understand the likely impacts of the use of technology on sustainability performance measures.
Journal ArticleDOI
Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality
Jihong Yan,Lin Li +1 more
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.
Journal ArticleDOI
Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25
Murat Sarikaya,Abdulkadir Güllü +1 more
TL;DR: In this paper, the authors presented an approach for optimization of machining parameters with multi-response outputs using design of experiment in turning using Taguchi's L9 orthogonal array.
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