An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining. (20th September 2017)
- Record Type:
- Journal Article
- Title:
- An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining. (20th September 2017)
- Main Title:
- An integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining
- Authors:
- Li, Lingling
Li, Congbo
Tang, Ying
Li, Li - Abstract:
- Abstract: Process plans and cutting parameters are important components in the computer aided process planning. Reasonable choice of process plans and cutting parameters can significant affect the energy consumption as well as traditional economic performances of manufacturing systems. Traditionally, process planning and cutting parameter optimization were carried out separately and sequentially at a machine tool level or a machining process level, which limits the potential for energy savings. Considering the fact that the functions of two components in different operation levels are usually complementary, the energy consumption of CNC machining system can be further improved if they are tightly integrated. In this paper, an integrated approach of process planning and cutting parameter optimization is proposed to minimize the total energy consumption of CNC machining and to balance machine workloads in workshop. Firstly, the energy characteristics of machining process are explicitly analyzed by considering multiple process flexibilities and the cutting parameters. Then a multi-objective integration model of process planning and cutting parameter optimization is proposed to take the minimum energy consumption and balance of machine workloads as the optimization objectives, which is solved by a Multi-objective Simulated Annealing algorithm. To verify the energy-saving performance of the proposed multi-objective integration problem, case studies have been conducted and theAbstract: Process plans and cutting parameters are important components in the computer aided process planning. Reasonable choice of process plans and cutting parameters can significant affect the energy consumption as well as traditional economic performances of manufacturing systems. Traditionally, process planning and cutting parameter optimization were carried out separately and sequentially at a machine tool level or a machining process level, which limits the potential for energy savings. Considering the fact that the functions of two components in different operation levels are usually complementary, the energy consumption of CNC machining system can be further improved if they are tightly integrated. In this paper, an integrated approach of process planning and cutting parameter optimization is proposed to minimize the total energy consumption of CNC machining and to balance machine workloads in workshop. Firstly, the energy characteristics of machining process are explicitly analyzed by considering multiple process flexibilities and the cutting parameters. Then a multi-objective integration model of process planning and cutting parameter optimization is proposed to take the minimum energy consumption and balance of machine workloads as the optimization objectives, which is solved by a Multi-objective Simulated Annealing algorithm. To verify the energy-saving performance of the proposed multi-objective integration problem, case studies have been conducted and the experimental results show that: i) the energy-oriented integration problem can achieve more energy savings compared with energy-oriented process planning or energy-oriented cutting parameter optimization; ii) the energy-oriented integration of process planning and cutting parameter optimization does not always yield a solution that addresses the need for balance of machine workloads; iii) The proposed multi-objective integration method can strike a balance between the total energy consumption and the machine workload. Graphical abstract: This paper presents an integrated approach of process planning and cutting parameter optimization to minimize the total energy consumption of CNC machining and to balance machine workloads in workshop. The energy characteristics of machining process are explicitly analyzed by considering multiple process flexibilities and the cutting parameters. Then a multi-objective integration model of process planning and cutting parameter optimization is proposed to take the minimum energy consumption and balance of machine workloads as the optimization objectives, which is solved by a Multi-objective Simulated Annealing algorithm. To verify the energy-saving performance of the proposed multi-objective integration problem, case studies are carried out. Highlights: The energy characteristics of CNC machining are analyzed with multiple process flexibilities and cutting parameters. An integration model of process planning and cutting parameter optimization is proposed to minimize energy consumption. The energy-saving performance of the proposed integration method is demonstrated through case studies. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 162(2017)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 162(2017)
- Issue Display:
- Volume 162, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 162
- Issue:
- 2017
- Issue Sort Value:
- 2017-0162-2017-0000
- Page Start:
- 458
- Page End:
- 473
- Publication Date:
- 2017-09-20
- Subjects:
- CNC machining -- Process planning -- Cutting parameter optimization -- Energy consumption -- Multi-objective integration
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2017.06.034 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10942.xml