An optimization model of machining process route for low carbon manufacturing

Qian Yi, Congbo Li, Xiaolong Zhang, Fei Liu, Ying Tang

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Process route planning selects and defines the whole machining process involved in transforming workblanks into end products. Our research finds that the decisions of processing methods, machines, cutting tools, and sequence of process stages during process route planning have significant impact on carbon emissions of the following manufacture processes. Firstly, a carbon emission and efficiency estimation model of process route is established to achieve the goal of reducing carbon emissions as well as increasing efficiency based on the machining features analyzing. Then, the mathematical model to express process route optimization problem is developed with objectives on minimizing the total carbon emission and total process time. A non-dominated sorting genetic algorithm is introduced to solve this problem, and a simulation study on a machine motor seat is conducted in order to verify the feasibility and practicability of the proposed model. The result of the experiment shows that our model can achieve the goal of reducing emission as well as maintaining system efficiency.

Original languageEnglish (US)
Pages (from-to)1181-1196
Number of pages16
JournalInternational Journal of Advanced Manufacturing Technology
Volume80
Issue number5-8
DOIs
StatePublished - Sep 1 2015

Fingerprint

Machining
Carbon
Planning
Cutting tools
Seats
Sorting
Genetic algorithms
Mathematical models
Processing
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

@article{4c5c6ff117514fdfb11bf77eb0d7cc4e,
title = "An optimization model of machining process route for low carbon manufacturing",
abstract = "Process route planning selects and defines the whole machining process involved in transforming workblanks into end products. Our research finds that the decisions of processing methods, machines, cutting tools, and sequence of process stages during process route planning have significant impact on carbon emissions of the following manufacture processes. Firstly, a carbon emission and efficiency estimation model of process route is established to achieve the goal of reducing carbon emissions as well as increasing efficiency based on the machining features analyzing. Then, the mathematical model to express process route optimization problem is developed with objectives on minimizing the total carbon emission and total process time. A non-dominated sorting genetic algorithm is introduced to solve this problem, and a simulation study on a machine motor seat is conducted in order to verify the feasibility and practicability of the proposed model. The result of the experiment shows that our model can achieve the goal of reducing emission as well as maintaining system efficiency.",
author = "Qian Yi and Congbo Li and Xiaolong Zhang and Fei Liu and Ying Tang",
year = "2015",
month = "9",
day = "1",
doi = "10.1007/s00170-015-7064-8",
language = "English (US)",
volume = "80",
pages = "1181--1196",
journal = "International Journal of Advanced Manufacturing Technology",
issn = "0268-3768",
publisher = "Springer London",
number = "5-8",

}

An optimization model of machining process route for low carbon manufacturing. / Yi, Qian; Li, Congbo; Zhang, Xiaolong; Liu, Fei; Tang, Ying.

In: International Journal of Advanced Manufacturing Technology, Vol. 80, No. 5-8, 01.09.2015, p. 1181-1196.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An optimization model of machining process route for low carbon manufacturing

AU - Yi, Qian

AU - Li, Congbo

AU - Zhang, Xiaolong

AU - Liu, Fei

AU - Tang, Ying

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Process route planning selects and defines the whole machining process involved in transforming workblanks into end products. Our research finds that the decisions of processing methods, machines, cutting tools, and sequence of process stages during process route planning have significant impact on carbon emissions of the following manufacture processes. Firstly, a carbon emission and efficiency estimation model of process route is established to achieve the goal of reducing carbon emissions as well as increasing efficiency based on the machining features analyzing. Then, the mathematical model to express process route optimization problem is developed with objectives on minimizing the total carbon emission and total process time. A non-dominated sorting genetic algorithm is introduced to solve this problem, and a simulation study on a machine motor seat is conducted in order to verify the feasibility and practicability of the proposed model. The result of the experiment shows that our model can achieve the goal of reducing emission as well as maintaining system efficiency.

AB - Process route planning selects and defines the whole machining process involved in transforming workblanks into end products. Our research finds that the decisions of processing methods, machines, cutting tools, and sequence of process stages during process route planning have significant impact on carbon emissions of the following manufacture processes. Firstly, a carbon emission and efficiency estimation model of process route is established to achieve the goal of reducing carbon emissions as well as increasing efficiency based on the machining features analyzing. Then, the mathematical model to express process route optimization problem is developed with objectives on minimizing the total carbon emission and total process time. A non-dominated sorting genetic algorithm is introduced to solve this problem, and a simulation study on a machine motor seat is conducted in order to verify the feasibility and practicability of the proposed model. The result of the experiment shows that our model can achieve the goal of reducing emission as well as maintaining system efficiency.

UR - http://www.scopus.com/inward/record.url?scp=84927942939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927942939&partnerID=8YFLogxK

U2 - 10.1007/s00170-015-7064-8

DO - 10.1007/s00170-015-7064-8

M3 - Article

AN - SCOPUS:84927942939

VL - 80

SP - 1181

EP - 1196

JO - International Journal of Advanced Manufacturing Technology

JF - International Journal of Advanced Manufacturing Technology

SN - 0268-3768

IS - 5-8

ER -