Optimization of energy consumption and surface roughness in slot milling of AISI 6061 T6 using the response surface method

被引:18
|
作者
Camposeco-Negrete, Carmita [1 ]
de Dios Calderon-Najera, Juan [1 ]
机构
[1] Tecnol Monterrey, Sch Engn & Sci, Eduardo Monroy Cardenas 2000, Toluca 50110, Estado De Mexic, Mexico
关键词
Energy consumption reduction; Slot milling; Green manufacturing; Response surface methodology; PARAMETERS; RSM;
D O I
10.1007/s00170-019-03848-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial sectors are looking for reducing their energy consumption due to the concerns on fossil fuel depletion and climate change, along with the increasing energy costs. In recent years, research on optimizing the energy consumption of machining processes has received significant attention as a way to diminish their environmental impact.Milling is a manufacturing process widely used. This paper presents an experimental study to optimize the energy consumption during slot milling of AISI 6061 T6. Surface roughness and specific energy were selected as the key characteristics of the milling process to be studied. The response surface method was employed to generate the regression model for the aforementioned variables. Moreover, the desirability method was used to obtain the values of the cutting parameters that achieved a minimum value of electrical energy consumed during the process by the machine tool and surface roughness.The results obtained showed that the approach presented in this work allowed a reduction of the energy consumed by the machine tool and a significant improvement with regard to the surface roughness. Therefore, the impacts on the environment related to the milling process were reduced without compromising the performance and quality of the final product.
引用
收藏
页码:4063 / 4069
页数:7
相关论文
共 50 条
  • [21] Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm
    Erol Kilickap
    Mesut Huseyinoglu
    Ahmet Yardimeden
    The International Journal of Advanced Manufacturing Technology, 2011, 52 : 79 - 88
  • [22] RSM-BASED SURFACE ROUGHNESS MODELLING DURING AISI-H13 SLOT MILLING
    Tzotzis, Anastasios
    Kakoulis, Konstantinos
    Efkolidis, Nikolaos
    Kyratsis, Panagiotis
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2022, 65 (04): : 1417 - 1424
  • [23] Multi Response Optimization of process parameters of friction stir welded AA6061 T6 and AA 7075 T651 Using Response-Surface Methodology
    Raja, R.
    Jannet, Sabitha
    Mohanasundaram, S.
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2020, 79 (03): : 232 - 234
  • [24] Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel
    Campatelli, Gianni
    Lorenzini, Lorenzo
    Scippa, Antonio
    JOURNAL OF CLEANER PRODUCTION, 2014, 66 : 309 - 316
  • [25] Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation
    Routara, B. C.
    Bandyopadhyay, A.
    Sahoo, P.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 40 (11-12): : 1166 - 1180
  • [26] Investigation of effect on energy consumption of surface roughness in X-axis and spindle servo motors in slot milling operation
    Ozturk, Burak
    Ugur, Levent
    Yildiz, Aytac
    MEASUREMENT, 2019, 139 : 92 - 102
  • [27] Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation
    B. C. Routara
    A. Bandyopadhyay
    P. Sahoo
    The International Journal of Advanced Manufacturing Technology, 2009, 40 : 1166 - 1180
  • [28] Optimization of surface roughness via the Taguchi method and investigation of energy consumption when milling spheroidal graphite cast iron materials
    Nas, Engin
    Ozturk, Burak
    MATERIALS TESTING, 2018, 60 (05) : 519 - 525
  • [29] Optimization of surface roughness and material removal rate in milling of AISI 1005 carbon steel using Taguchi approach
    Kumar, Sunil
    Saravanan, I
    Patnaik, Lokeswar
    MATERIALS TODAY-PROCEEDINGS, 2020, 22 : 654 - 658
  • [30] Optimization of surface roughness and delamination factor in end milling of graphene modified GFRP using response surface methodology
    Thakur, R. K.
    Sharma, Dheeraj
    Singh, K. K.
    MATERIALS TODAY-PROCEEDINGS, 2019, 19 : 133 - 139