Parametric optimization of dry turning for improved machining of duplex stainless steel (DSS2205) using response surface methodology (RSM) and design of experiments (DOE)

被引:0
|
作者
Thakur, Rahul [1 ]
Sahu, Neelesh Kumar [1 ,2 ]
Shukla, Rajendra Kumar [1 ]
机构
[1] Medi Caps Univ, Mech Engn Dept, Indore 453331, Madhya Pradesh, India
[2] Gyan Ganga Inst Technol & Sci, Dept Robot & Artificial Intelligence, Jabalpur, Madhya Pradesh, India
关键词
RSM; surface roughness; duplex stainless steel; dry turning; cutting tool wear; material removal rate; MACHINABILITY;
D O I
10.1007/s12046-024-02649-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Duplex materials, which have a unique combination of characteristics derived from austenitic and ferritic steel, show excellent hardness and toughness. However, this particular composition also makes machining difficult. This study aims at conducting a detailed parametric investigation on dry turning operations using CNC for duplex stainless steel (DSS 2205). Specifically, it focuses on critical cutting variables like machining velocity, feed rate and depth of cut. Response surface method (RSM) is utilized by the researchers to optimize these variables while taking into account important factors like MRR, wear of tool and roughness of surface. Through a carefully planned series of dry turning experiments involving different cutting parameters on DSS 2205, this work identifies optimum values for specific responses during machining processes. The optimized cutting conditions include a cutting velocity of 100 m/min or spindle speed of 1178 rpm, feed rate of 282.72 mm/min (or 0.24 mm/revolution) and depth of cut (DOC) of 1.5 mm. This optimization approach significantly contributes towards enhancing overall performance by addressing the intrinsic challenges associated with its unique composition that make it difficult to machine effectively.
引用
收藏
页数:14
相关论文
共 25 条
  • [21] Experimental investigation and modelling of MQL assisted turning process during machining of 15-5 PH stainless steel using response surface methodology
    P. Sivaiah
    SN Applied Sciences, 2019, 1
  • [22] Modelling of Flank and Crater Wear during Dry Turning of AISI 316L Stainless Steel as a Function of Tool Geometry Using the Response Surface Design
    University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, Novi Sad
    21000, Serbia
    不详
    35000, Croatia
    不详
    40007, Ukraine
    不详
    34000, Serbia
    Teh. Vjesn., 4 (1376-1384):
  • [23] Modelling of Flank and Crater Wear during Dry Turning of AISI 316L Stainless Steel as a Function of Tool Geometry Using the Response Surface Design
    Vukelic, Djordje
    Simunovic, Katica
    Ivanov, Vitalii
    Sokac, Mario
    Kocovic, Vladimir
    Santosi, Zeljko
    Simunovic, Goran
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2024, 31 (04): : 1376 - 1384
  • [24] Optimization of process parameters of cold metal transfer welding-based wire arc additive manufacturing of super Duplex stainless steel using response surface methodology
    Meena, Rajendra Prasad
    Yuvaraj, Narayan
    Vipin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2024,
  • [25] Optimization of the thermal performance of nano-encapsulated phase change material slurry in double pipe heat exchanger: Design of experiments using response surface methodology (RSM)
    Chananipoor, Arman
    Azizi, Zoha
    Raei, Behrouz
    Tahmasebi, Nargess
    JOURNAL OF BUILDING ENGINEERING, 2021, 34