Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm

J. Mumtaz; Zhang Li; Muhammad Imran; Lei Yue; M. Jahanzaib; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Kaynat Afzal

doi:10.1177/1687814019829588

Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm

J. Mumtaz, Zhang Li, Muhammad Imran, Lei Yue, M. Jahanzaib, Shoaib Sarfraz, Essam Shehab, Sikiru Oluwarotimi Ismail, Kaynat Afzal

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Advances in Mechanical Engineering
DOIs	https://doi.org/10.1177/1687814019829588
Publication status	Published - 16 Jan 2019

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10.1177/1687814019829588

Cite this

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title = "Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm",

author = "J. Mumtaz and Zhang Li and Muhammad Imran and Lei Yue and M. Jahanzaib and Shoaib Sarfraz and Essam Shehab and Ismail, {Sikiru Oluwarotimi} and Kaynat Afzal",

year = "2019",

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language = "English",

journal = "Advances in Mechanical Engineering",

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AU - Mumtaz, J.

AU - Li, Zhang

AU - Imran, Muhammad

AU - Yue, Lei

AU - Jahanzaib, M.

AU - Sarfraz, Shoaib

AU - Shehab, Essam

AU - Ismail, Sikiru Oluwarotimi

AU - Afzal, Kaynat

PY - 2019/1/16

Y1 - 2019/1/16

UR - http://dx.doi.org/10.1177/1687814019829588

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DO - 10.1177/1687814019829588

M3 - Article

SN - 1687-8132

JO - Advances in Mechanical Engineering

JF - Advances in Mechanical Engineering

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