Enhancing High-Alloy Steel Cutting with Abrasive Water Injection Jet (AWIJ) Technology: An Approach Using the Response Surface Methodology (RSM)

被引:1
|
作者
Perec, Andrzej [1 ]
Kawecka, Elzbieta [1 ]
Pude, Frank [2 ,3 ]
机构
[1] Jacob Paradies Univ, Fac Technol, PL-66400 Gorzow Wielkopolski, Poland
[2] Swiss Fed Inst Technol, Inspire AG, CH-8005 Zurich, Switzerland
[3] Steinbeis Consulting Ctr High Pressure Waterjet Te, D-86497 Horgau, Germany
关键词
abrasive water injection jet; surface roughness; high-alloy steel; response surface method; modeling; NUMERICAL-ANALYSIS; OPTIMIZATION; PERFORMANCE; TOOL;
D O I
10.3390/ma17164020
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The common machining technologies for difficult-to-machine materials do not remarkably ensure acceptable efficiency and precision in bulk materials cutting. High-energy abrasive water injection jet (AWIJ) treatment can cut diverse materials, even multi-layer composites characterized by divergent properties, accurately cutting complex profiles and carrying them out in special circumstances, such as underwater locations or explosion hazard areas. This work reports research on the AWIJ machining quality performance of X22CrMoV12-1 high-alloy steel. The response surface method (RSM) was utilized in modeling. The most influencing process control parameters on cut kerf surface roughness-abrasive flow rate, pressure, and traverse speed-were tested. The result is a mathematical model of the process in the form of a three-variable polynomial. The key control parameter affecting the cut slot roughness turned out to be the traverse speed. In contrast, pressure has a less significant effect, and the abrasive mass flow rate has the slightest impact on the cut slot roughness. Under the optimal conditions determined as a result of the tests, the roughness of the intersection surface Sq does not exceed 2.3 mu m. Based on the ANOVA, we confirmed that the model fits over 96% appropriately with the research outcomes. This method reduces the computations and sharply determines the optimum set of control parameters.
引用
收藏
页数:11
相关论文
共 27 条
  • [21] Optimization of end milling process of Oil Hardened Non-Shrinking Die Steel (OHNS) under different cutting environment using Taguchi and Response surface methodology (RSM) approach
    Vignesh, S.
    Iqbal, U. Mohammed
    Tigere, G.
    ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, 2019, 5 (01) : 78 - 94
  • [22] An investigation of laser cutting quality of 22MnB5 ultra high strength steel using response surface methodology
    Tahir, Abdul Fattah Mohd
    Aqida, Syarifah Nur
    OPTICS AND LASER TECHNOLOGY, 2017, 92 : 142 - 149
  • [23] ENHANCING CORROSION RESISTANCE OF CARBON STEEL USING EXPIRED PHARMACEUTICAL DRUG SULPUREN: A RESPONSE SURFACE METHODOLOGY APPROACH IN ACIDIC MEDIA
    Naceur, Benhadria
    Attar, Tarik
    Benchadli, Abbes
    Choukchou-Braham, Esma
    REVUE ROUMAINE DE CHIMIE, 2024, 69 (3-4)
  • [24] Enhancing Thermoelectric Properties of p-n Hybrid Composites: A Statistical Approach Using Response Surface Methodology (RSM) and 1D Nano-Structuring Model
    Nedjar, Linda
    Cherif, Younes Bourenane
    Mekki, Ahmed
    Sayah, Zakaria Bekkar Djelloul
    Manseri, Amar
    Mekhalif, Zineb
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2024, : 4397 - 4412
  • [25] Machinability Study on Finish Turning of AISI H13 Hot Working Die Tool Steel With Cubic Boron Nitride (CBN) Cutting Tool Inserts Using Response Surface Methodology (RSM)
    Pardeep Kumar
    S. R. Chauhan
    Arabian Journal for Science and Engineering, 2015, 40 : 1471 - 1485
  • [26] Machinability Study on Finish Turning of AISI H13 Hot Working Die Tool Steel With Cubic Boron Nitride (CBN) Cutting Tool Inserts Using Response Surface Methodology (RSM)
    Kumar, Pardeep
    Chauhan, S. R.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2015, 40 (05) : 1471 - 1485
  • [27] Response Surface Methodology Approach on Effect of Cutting Parameter on Tool Wear during End Milling of High Thermal Conductivity Steel-150 (HTCS-150)
    Hadzley, A. B. Mohd
    Azahar, W. M. Y. Wan Mohd
    Izamshah, R.
    Shahir, K. Mohd
    Amran, A. Mohd
    Afuza, A. Anis
    2ND INTERNATIONAL MANUFACTURING ENGINEERING CONFERENCE AND 3RD ASIA-PACIFIC CONFERENCE ON MANUFACTURING SYSTEMS (IMEC-APCOMS 2015), 2016, 114