Multi-Objectives Optimization on Cutting Layers and Cutting Tools Selection for Sculptured-Dies Cavity Rough Machining: A State-of-the-Art Review

DOI

10.2991/aebmr.k.210522.007How to use a DOI?

Keywords

Sculptured-dies roughing (SDR), Tooling and Layering, Machining Time per Volume Coefficient (TVC), Multi-Objectives Dynamic Programming (MODP), Multiple Objective Genetic Algorithm approach (MOGA)

Abstract

Sculptured-dies roughing (SDR) has some different objectives that maybe contradicting and therefore needs trade-off among them. Compared to prismatic and rotational shape machining, SDR is more complex considering the sculptured characteristics of machining surface. Layer-by layer approach applied in SDR requires multiple tools selection and determination of the depth of cut for each cutting layer. Those decisions need to be considered in SDR optimization problem. The trade-off between different objectives are required, such as machining residues/cut-off (or coverage) from the roughing process to be traded-off with the machining (roughing) time. This paper presents a state-of-the-art review on cutting layer and cutting tools selection (CLT) by multi-objective optimization for SDR and presents the needs for a trade-off between machining time and cut-off (residual volume) by minimizing machining Time per Volume Coefficient (TVC). The process is conducted simultaneously. A systematic literature review is presented to show the complexity of the geometric related problem, the optimization techniques that have been applied, and the different objectives in SDR, including some multi-objective coverage. Finally, some directions on algorithms for optimizing TVC in TLC problem is presented. Considering the combinatorial problem in CLT, this paper overviews the Multi-Objectives Dynamic Programming approach (MODP) and Metaheuristics Multiple Objective approaches (MOGA etc.) for CLT problem optimization. The results confirm that the optimum tools combination and cutting layer selection could increase SDR efficiency. The paper conclusion discussed recommended metaheuristic approach to trade-off between machining time and residual volume in more complex problem.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ineu Widaningsih
AU  - Anas Ma’ruf
AU  - Suprayogi
AU  - Dradjad Irianto
PY  - 2021
DA  - 2021/05/25
TI  - Multi-Objectives Optimization on Cutting Layers and Cutting Tools Selection for Sculptured-Dies Cavity Rough Machining: A State-of-the-Art Review
BT  - Proceedings of the International Conference on Business and Engineering Management (ICONBEM 2021)
PB  - Atlantis Press
SP  - 43
EP  - 50
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210522.007
DO  - 10.2991/aebmr.k.210522.007
ID  - Widaningsih2021
ER  -