Energy consumption characteristics evaluation method in turning

The accurate energy consumption characteristics evaluation in machining is helpful to optimize processing scheme to realize low carbon manufacturing. The energy consumption characteristics evaluation method in turning is researched, which includes energy efficiency calculation and energy consumption...

Full description

Bibliographic Details
Main Authors: Guoyong Zhao, Chunhong Hou, Jianfang Qiao, Xiang Cheng
Format: Article
Language:English
Published: SAGE Publishing 2016-11-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814016680737
id doaj-53bece48b9564939814bc6548c789737
record_format Article
spelling doaj-53bece48b9564939814bc6548c7897372020-11-25T02:59:56ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-11-01810.1177/1687814016680737Energy consumption characteristics evaluation method in turningGuoyong ZhaoChunhong HouJianfang QiaoXiang ChengThe accurate energy consumption characteristics evaluation in machining is helpful to optimize processing scheme to realize low carbon manufacturing. The energy consumption characteristics evaluation method in turning is researched, which includes energy efficiency calculation and energy consumption prediction. First, the simple and accurate energy efficiency computational model in turning is put forward. Second, the energy consumption prediction empirical model and the back-propagation neural network prediction model are developed respectively. Finally, the power signal measurement system is built on computer numerical controlled lathe, and the proposed energy efficiency computational model and the energy consumption prediction methods are verified in the 45# steel semi-finish turning with hard alloy cutting tools. The results show that the proposed methods can effectively evaluate the energy consumption characteristics in turning, which can help to select the high energy efficiency processing program on the basis of ensuring processing quality.https://doi.org/10.1177/1687814016680737
collection DOAJ
language English
format Article
sources DOAJ
author Guoyong Zhao
Chunhong Hou
Jianfang Qiao
Xiang Cheng
spellingShingle Guoyong Zhao
Chunhong Hou
Jianfang Qiao
Xiang Cheng
Energy consumption characteristics evaluation method in turning
Advances in Mechanical Engineering
author_facet Guoyong Zhao
Chunhong Hou
Jianfang Qiao
Xiang Cheng
author_sort Guoyong Zhao
title Energy consumption characteristics evaluation method in turning
title_short Energy consumption characteristics evaluation method in turning
title_full Energy consumption characteristics evaluation method in turning
title_fullStr Energy consumption characteristics evaluation method in turning
title_full_unstemmed Energy consumption characteristics evaluation method in turning
title_sort energy consumption characteristics evaluation method in turning
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2016-11-01
description The accurate energy consumption characteristics evaluation in machining is helpful to optimize processing scheme to realize low carbon manufacturing. The energy consumption characteristics evaluation method in turning is researched, which includes energy efficiency calculation and energy consumption prediction. First, the simple and accurate energy efficiency computational model in turning is put forward. Second, the energy consumption prediction empirical model and the back-propagation neural network prediction model are developed respectively. Finally, the power signal measurement system is built on computer numerical controlled lathe, and the proposed energy efficiency computational model and the energy consumption prediction methods are verified in the 45# steel semi-finish turning with hard alloy cutting tools. The results show that the proposed methods can effectively evaluate the energy consumption characteristics in turning, which can help to select the high energy efficiency processing program on the basis of ensuring processing quality.
url https://doi.org/10.1177/1687814016680737
work_keys_str_mv AT guoyongzhao energyconsumptioncharacteristicsevaluationmethodinturning
AT chunhonghou energyconsumptioncharacteristicsevaluationmethodinturning
AT jianfangqiao energyconsumptioncharacteristicsevaluationmethodinturning
AT xiangcheng energyconsumptioncharacteristicsevaluationmethodinturning
_version_ 1724700173520601088