Energy consumption analysis of automatic tool change processes

被引:2
|
作者
Li, Lin [1 ]
Yin, Fengfu [1 ]
Kpodzro, Edwin [2 ]
Wang, Chuansheng [1 ]
Yan, Jihong [3 ]
机构
[1] Qingdao Univ Sci & Technol, Coll Electromech Engn, 99 Songling Rd, Qingdao 266061, Peoples R China
[2] Purdue Univ, Sch Mech Engn, 585 Purdue Mall, W Lafayette, IN 47906 USA
[3] Harbin Inst Technol, Sch Mechatron Engn, 92 West St, Harbin 150001, Peoples R China
来源
26TH CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE) | 2019年 / 80卷
基金
中国国家自然科学基金;
关键词
Energy consumption; Power profile; Automatic tool change; Modeling; Milling; OPTIMIZATION; EFFICIENCY; MODEL; TIME;
D O I
10.1016/j.procir.2019.01.104
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The automatic tool change system was used frequently in numerical control machining processes. Preliminary studies indicate that the power demand of an automatic tool change system is an important part of auxiliary units power demand for numerical control machining processes. Research to date on energy consumption modeling largely focuses on cutting processes while the power demand of automatic tool change processes is treated as a given constant. However, energy consumption modeling of automatic tool change processes is a method that has been overlooked in previous investigations. In fact, the tool change power demand and time vary depending on the turret motor rotation angle for changing tools. Thus, this study aims at solving the above problem by analyzing the power demands of different tool stations for changing tools. The energy consumption modeling method of an umbrella tool changer system was proposed to address the limitations of existing models and validated on a vertical milling machine. In this study, one tool change cycle was divided into five different power demand stages. This is different from the common method where the power demand of one tool change cycle is fixed. The milling case was investigated, and experimental results showed that the proposed modeling method can provide a reliable energy consumption prediction for tool change processes with high accuracy, which can assist manufacturers to develop potential energy saving strategies. (C) 2019 The Authors. Published by Elsevier B.V.
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页码:62 / 66
页数:5
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