Study of optimal cutting condition for energy efficiency improvement in ball end milling with tool-workpiece inclination

Oda, Y.; Mori, Masahiko; Ogawa, Keiji; Nishida, Shuzo; Fujishima, Makoto; Kawamura, Tateo

doi:10.1016/j.cirp.2012.03.034

Cited by 65 publications

(23 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on this model, several critical parameters were identified to minimize the total energy consumption. Oda et al (2012) tried to optimize the tool angles and cutting speed to minimize the energy consumption in a 5-axis milling process. Hanafi et al (2012) applied grey relational theory and Taguchi method to optimize the cutting parameters in the process of turning PEEK-C30 using TiN coated tools.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

A hybrid approach to energy consumption modelling based on cutting power: a milling case

Liu

Zhang

2015

Journal of Cleaner Production

View full text Add to dashboard Cite

Section: Introduction and State Of The Artmentioning

confidence: 99%

A hybrid approach to energy consumption modelling based on cutting power: a milling case

Liu

Zhang

2015

Journal of Cleaner Production

View full text Add to dashboard Cite

“…In what concerns the optimization target, we find, mostly, a unique criterion, be it the manufacturing cost [1]- [5], the metal removing rate (MRR) [6]- [10], the manufactured surface roughness [11]- [13], the cutting force magnitude [14], [15] or the energetic efficiency of the manufacturing process [16], [17]. There are also present multi-criteria approaches, combining two or three among previously mentioned criteria [18]- [21].…”

Section: Introductionmentioning

confidence: 99%

“…There are also present multi-criteria approaches, combining two or three among previously mentioned criteria [18]- [21]. The manipulated variables are, most frequently, the cutting regime parameters [3], [12], [15], but also the number of passes [1], the driving motor power [16], or the grit size (of abrasive tools) [7].…”

Section: Introductionmentioning

confidence: 99%

Holistic Approach of the Optimization Problem in Manufacturing

Frumuşanu¹,

Epureanu²

2015

IJMMM

View full text Add to dashboard Cite

Abstract-To reduce the manufacturing cost, to increase the productivity and to enhance the manufactured products quality, it is highly important to work in optimal conditions. A very large number of researches has already been dedicated to formulate and to solve the problem of optimizing the different types of manufacturing processes, from different points of view. This paper, unlike the existing approaches, presents a holistic approach of the manufacturing activity optimization problem. The main aspects (financial, industrial, economical, and environmental) of the manufacturing activity were put together by defining three original, synthetic indicators, which can be used as objective functions. Their analytical expressions were found, for exemplification, in the case of a turning process. Numerical simulations, showing the relevance of the indicators and the potential efficiency of their use in practice, are also included.Index Terms-Manufacturing optimization, holistic approach, profit rate (PR), investments efficiency (IE), sustainable profit (SP).

show abstract

“…Furthermore, Neugebauer et al [2012] proposed a holistic approach to optimize energy and resource efficiency in the development of high performance cutting and hybrid processes. An optimal inclination angle was determined to minimize energy consumption and maximized tool life during 5-axis machining process [Oda et al, 2012].…”

Section: Multi-objective Optimization Of Turning Process For Hardenedmentioning

confidence: 99%

Multi-objective optimization of turning process for hardened material based on hybrid approach

Park

Nguyen

2016

JAMDSM

View full text Add to dashboard Cite

Energy and environmental issues have become pertinent to all industries in the globe because of sustainable development issues. This paper systematically investigates the turning process of the hardened material via process modeling, numerical experiments, and a hybrid algorithm. The objectives of this work are to reduce the specific cutting energy (SCE) and improve the energy efficiency (EF) based on the turning conditions optimization. The machining simulations were performed in conjunction response surface methodology (RSM) to generate the quadratic mathematical models of the specific cutting energy and energy efficiency in terms of machining parameters, including cutting speed, feed rate, nose radius, edge radius, and rake angle. An analysis of variance (ANOVA) was then adopted to examine the model adequacy and significant parameters. Subsequently, an evolutionary algorithm, namely non-dominated sorting genetic algorithm-II (NSGA-II) was used to find a much better spread of design solutions and better convergence near the true Pareto optimal front. A quantitative approach, namely entropy method was conducted to calculate the weight factors of multiple responses. In the last step, a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) was applied as to determine the best compromise solution. It was indicated that the energy efficiency was significantly improved using the optimal machining parameters and the specific cutting energy was effectively decreased in comparison with initial values. Moreover, the integrative approach performed very well in optimum performance of the machining process. Therefore, this work is expected as a contribution to improve the machining efficiency of the turning process of hardened steels.

show abstract

Study of optimal cutting condition for energy efficiency improvement in ball end milling with tool-workpiece inclination

Cited by 65 publications

References 8 publications

A hybrid approach to energy consumption modelling based on cutting power: a milling case

A hybrid approach to energy consumption modelling based on cutting power: a milling case

Holistic Approach of the Optimization Problem in Manufacturing

Multi-objective optimization of turning process for hardened material based on hybrid approach

Contact Info

Product

Resources

About