A novel parameter decision approach in hobbing process for minimizing carbon footprint and processing time
- PDF / 1,175,750 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 82 Downloads / 182 Views
ORIGINAL ARTICLE
A novel parameter decision approach in hobbing process for minimizing carbon footprint and processing time Hengxin Ni 1 & Chunping Yan 1 & Weidong Cao 2 & Yifan Liu 1 Received: 16 February 2020 / Accepted: 14 September 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Manufacturing industry has paid more attention to the carbon footprint in the manufacturing process with an increasing focus on ecological environment. Also, optimum machining parameters are usually considered as an efficient solution for minimizing carbon footprint and processing time owing to their great role in process control. To make a better process parameter set, a novel multi-objective parameter decision approach called multi-objective grey wolf optimizer (MOGWO) is adopted to realize the decision process in gear hobbing. First, the problem of gear production is elaborated in detail and the characteristics of carbon footprint in light of hobbing process are synthetically analyzed; the carbon footprint model and processing time model are established subsequently. Second, a parameter decision approach for multi-objectives is presented followed by thorough optimization approach. Finally, a case study is put into practice for verifying the presented parameter decision-making scheme. The results demonstrate good hobbing process parameter solutions under the proposed decision approach, and it reveals a certain functional relationship between carbon footprint and processing time in view of the graphic display. Keywords Carbon footprint . Parameter decision . Multi-objective optimization . Grey wolf optimizer . Gear hobbing
1 Introduction With an increasing concern about energy saving and emission reduction in machinery industry, a sustainable manufacturing mode called low-carbon manufacturing arises at the historic moment by its distinct advantage in emphasizing carbon footprint and resource consumption in production process [1]. The various CNC machines have been widely applicant into industrial sectors which have considerable potential in attaining sustainable manufacturing while the consumed energy accounts for nearly 60% of total resource consumption in machine tool industry [2]. Particularly, the gear hobbing acts as the core of gear production while hobbing machines almost occupy 50% of the total gear machines [3]. It is clear that activities involved in gear hobbing would inevitably cause carbon footprint which inspires researchers to seek effective * Chunping Yan [email protected] 1
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
2
College of Internet of Things (IOT) Engineering, Hohai University, Nanjing, China
solutions and strategies for the continuous development of hobbing. Recently, process parameter decision and optimization has been considered as an effective scheme in process control, and technologists tend to maximize profits in multi-objective optimization with parametric variation [4]. It has been transformed into parameter decision-making process
Data Loading...
