Machining of austenitic stainless steels - a review

Kaladhar, M.; Subbaiah, K.; Rao, CS

doi:10.1504/ijmmm.2012.048564

Cited by 55 publications

(42 citation statements)

References 22 publications

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“…The workpiece material characteristics are summarised in Table 1. As discussed by Kaladhar et al (2012), such material is difficult to machine owing to its ductility, low thermal conductivity and high strain hardening. Such properties cause ease of work hardening if machining parameters are not chosen correctly.…”

Section: Experimental Conditionsmentioning

confidence: 99%

Reproducibility of a reaming test

Pilný

Müller

Chiffre

2014

IJMR

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Abstract:The reproducibility of a reaming test was analysed to document its applicability as a performance test for cutting fluids. Reaming tests were carried out on a drilling machine using HSS reamers. Workpiece material was an austenitic stainless steel, machined using 4.75 m·min -1 cutting speed and 0.3 mm·rev -1 feed. A mineral straight oil and a water-based lubricant at two different oil concentrations were compared with respect to hole quality, evaluated in terms of surface finish (conventional arithmetic mean roughness Ra and roughness profiles), and hole geometry (hole diameter and roundness). Process reproducibility was assessed as the ability of different operators to ensure a consistent rating of individual lubricants. Absolute average values as well as experimental standard deviations of the evaluation parameters were calculated, and uncertainty budgeting was performed. Results document a built-up edge occurrence hindering a robust evaluation of cutting fluid performance, if the data evaluation is based on surface finish only. Measurements of hole geometry provide documentation to recognise systematic error distorting the performance test.[ He is an internationally recognised expert in manufacturing and metrology, having published over 200 technical papers in international journals and conference proceedings. His theoretical models quantifying the role of friction and lubrication in metal cutting are described in textbooks worldwide. He has been the Supervisor of more than 100 MSc students and over 20 PhD students. He has been initiator and coordinator of major framework programmes, and created and directed since its formation the Centre for Geometrical Metrology (CGM). Moreover, he has established a transnational virtual institute for geometrical metrology between DTU and Padova University. He is a Fellow of the International Academy for Production Engineering (CIRP) and panel member of the Foundation Committee of the European Society for Precision Engineering and Nanotechnologies (Euspen).

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Section: Experimental Conditionsmentioning

confidence: 99%

Reproducibility of a reaming test

Pilný

Müller

Chiffre

2014

IJMR

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“…The characteristics of SLM enable this approach to be used to fabricate metal lattice structures. Note that 316L stainless steel, a common metal material, is often used as a raw material to fabricate lattice structures because of its good corrosion resistance, heat resistance, low price, good welding properties and biocompatibility [19][20][21]. Allen [22][23][24][25][26] established a theoretical model for the vibration and sound insulation of lattice sandwich structures with four simply supported edges and an acoustic-vibration coupling control equation for lattice sandwich structures under plane harmonic excitation according to Reissner's sandwich plate theory of shear deformation.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Properties of 316L Stainless Steel Lattice Structures Fabricated via Selective Laser Melting

Sun

Jiang

Wang

2020

Metals

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A bulk specimen and two different lattice sandwich structures composed of 316L stainless steel were fabricated via selective laser melting. This study analysed the acoustic properties, including sound insulation and sound absorption, of the three kinds of structures, which were produced via selective laser melting under the same process parameters. The results showed that the difference in the unit structures, rather than microstructural difference, was the main reason for the difference in acoustic properties between the samples. Under the same process parameters, the microstructure of the different structures had the same cell structure. However, the sound absorption properties of the lattice sandwich structures were better than those of the bulk sample in the measured frequency range of 1–6.3 kHz. The lattice sandwich structure with 2.5 × 2.5 × 2.5 mm3 unit structures exhibited excellent sound insulation properties in the frequency range of 1–5 kHz.

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“…Poor surface quality and severe tool wear are two of the most concerning problems in stainless steel machining [5,6]. Therefore, it is significant to investigate the machinability of stainless steel for optimizing the machining process.…”

Section: Introductionmentioning

confidence: 99%

Tool Wear, Surface Topography, and Multi-Objective Optimization of Cutting Parameters during Machining AISI 304 Austenitic Stainless Steel Flange

Liu

Liang

2019

Metals

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The application of AISI 304 austenitic stainless steel in various industrial fields has been greatly increased, but poor machinability classifies AISI 304 as a difficult-to-cut material. This study investigated the tool wear, surface topography, and optimization of cutting parameters during the machining of an AISI 304 flange component. The machining features of the AISI 304 flange included both cylindrical and end-face surfaces. Experimental results indicated that an increased cutting speed or feed aggravated tool wear and affected the machined surface roughness and surface defects simultaneously. The generation and distribution of surface defects was random. Tearing surface was the major defect in cylinder turning, while side flow was more severe in face turning. The response surface method (RSM) was applied to explore the influence of cutting parameters (e.g., cutting speed, feed, and depth of cut) on surface roughness, material removal rate (MRR), and specific cutting energy (SCE). The quadratic model of each response variable was proposed by analyzing the experimental data. The optimization of the cutting parameters was performed with a surface roughness less than the required value, the maximum MRR, and the minimum SCE as the objective. It was found that the desirable cutting parameters were v = 120 m/min, f = 0.18 mm/rev, and ap = 0.42 mm for the AISI 304 flange to be machined.

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Machining of austenitic stainless steels - a review

Cited by 55 publications

References 22 publications

Reproducibility of a reaming test

Reproducibility of a reaming test

Acoustic Properties of 316L Stainless Steel Lattice Structures Fabricated via Selective Laser Melting

Tool Wear, Surface Topography, and Multi-Objective Optimization of Cutting Parameters during Machining AISI 304 Austenitic Stainless Steel Flange

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