Effect of Machining Parameters on Tool Wear and Hole Quality of AISI 316L Stainless Steel in Conventional Drilling

During Laser Powder-Directed Energy Deposition (LP-DED), many complex phenomena occur. These phenomena, which are strictly related to the conditions used during the building process, can affect the quality of the parts in terms of microstructural features and mechanical behavior. This paper investigates the effect of building parameters on the microstructure and the tensile properties of AISI 316L stainless-steel samples produced via LP-DED. Firstly, the building parameters were selected starting from single scan tracks by studying their morphology and geometrical features. Next, 316L LP-DED bulk samples built with two sets of parameters were characterized in terms of porosity, geometrical accuracy, microstructure, and mechanical properties. The tensile tests data were analyzed using the Voce model and a correlation between the tensile properties and the dislocation free path was found. Overall, the data indicate that porosity should not be considered the unique indicator of the quality of an LP-DED part and that a mechanical characterization should also be performed.

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Experimental Investigation of Machining Parameters during Turning of AISI 316L Stainless Steel Using Nano Cutting Environment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.787.361 ◽

2015 ◽

Vol 787 ◽

pp. 361-365 ◽

Cited By ~ 2

Author(s):

T. Rajmohan ◽

S.D. Sathishkumar ◽

K. Palanikumar

Keyword(s):

Stainless Steel ◽

Feed Rate ◽

316L Stainless Steel ◽

Cutting Speed ◽

Interface Temperature ◽

Depth Of Cut ◽

Machining Parameters ◽

Aisi 316L ◽

Machining Processes ◽

Aisi 316L Stainless Steel

In modern machining processes, there are continuous cost pressures and high quality expectations in the product. Hence, it is required to explore the techniques that can reduce the cost and also increase the quality of the product. In the present work, machining performance of AISI 316L SS is assessed by the performing turning operation under nano cutting environment. Experiments have been carried out by plain turning of 48mm diameter and 600mm long rod of AISI 316L stainless steel on all geared lathe at different cutting velocities and feeds under wet machining with and without Carbon nano Tubes (CNT) inclusions using carbide inserts. The effect of cutting speed, feed rate, depth of cut on tool chip interface temperature and surface roughness are analysed using Taguchi method. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. Experimental results reveal that feed rate and cutting speed are the dominant variables on responses.

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Drilling of AISI 316L stainless steel: Effect of coolant condition on surface roughness and tool wear

10.1063/5.0000548 ◽

2020 ◽

Author(s):

Ahmad Zubair Sultan ◽

Safian Sharif ◽

Denni Kurniawan

Keyword(s):

Surface Roughness ◽

Stainless Steel ◽

Tool Wear ◽

316L Stainless Steel ◽

Aisi 316L ◽

Aisi 316L Stainless Steel

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Optimization of Machining Parameters During Turning of AISI 316L Stainless Steel Under Nanocutting Fluid Environment

Springer Proceedings in Materials - Advances in Materials and Manufacturing Engineering ◽

10.1007/978-981-15-6267-9_26 ◽

2020 ◽

pp. 221-227

Author(s):

S. D. Sathishkumar ◽

T. Rajmohan

Keyword(s):

Stainless Steel ◽

316L Stainless Steel ◽

Machining Parameters ◽

Aisi 316L ◽

Aisi 316L Stainless Steel ◽

Fluid Environment

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Experimental Investigation to Improve Surface Integrity of Biomedical Devices by End-Milling AISI 316L Stainless Steel

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.789-790.141 ◽

2015 ◽

Vol 789-790 ◽

pp. 141-145 ◽

Cited By ~ 3

Author(s):

Muhammad Yasir ◽

Turnad Lenggo Ginta ◽

Adam Umar Alkali ◽

Mohammad Danish

Keyword(s):

Surface Roughness ◽

Stainless Steel ◽

Surface Integrity ◽

Feed Rate ◽

316L Stainless Steel ◽

End Milling ◽

Cutting Speed ◽

Machining Parameters ◽

Aisi 316L ◽

Aisi 316L Stainless Steel

This paper presents the influence of machining parameters namely cutting speed and feed rate on the machinability enhancement of AISI 316L stainless steel, in terms of surface integrity using end-milling with coated tungsten carbide tool (TiAlN). Optical microscopy, Scanning Electron Microscopy (SEM) and surface roughness measurement were used to analyze the surface integrity in terms surface topography and hardness test. A multi view approach is adopted to study the effect of different cutting parameters on the surface integrity of AISI 316L stainless steel. It was found that high cutting speed and low feed rate influence the surface roughness. Low surface roughness makes AISI 316L stainless steel more corrosion resistant which prevents wear of the implants.

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Modeling and Analysis of Cutting Force in Turning of AISI 316L Stainless Steel (SS) under Nano Cutting Environment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.766-767.949 ◽

2015 ◽

Vol 766-767 ◽

pp. 949-955 ◽

Cited By ~ 7

Author(s):

T. Rajmohan ◽

S.D. Sathishkumar ◽

K. Palanikumar ◽

S. Ranganathan

Keyword(s):

Stainless Steel ◽

Feed Rate ◽

316L Stainless Steel ◽

Depth Of Cut ◽

Machining Parameters ◽

Aisi 316L ◽

Machining Performance ◽

Aisi 316L Stainless Steel ◽

Modeling And Analysis ◽

Machining Operations

Nano Cutting fluids play a significant role in machining operations and impact shop productivity, tool life and quality of work. In the present work, machining performance of AISI 316L Stainless steel (SS) is assessed under nano cutting environment. Experiments are performed by plain turning of 80mm diameter and 300mm long rod of AISI 316L SS on NAGMAT centre lathe under wet machining with and without Multi Wall Carbon nano Tubes (MWCNT) inclusions in the conventional lubricant. The Second order quadratic models were developed to predict cutting forces using response surface methodology (RSM) based D-optimal design. Machining parameters such as speed, feed rate and depth of cut are chosen as numerical factor, and the wt % of MWCNT content is considered as the categorical factor. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. Experimental results reveal that wt % of MWCNT and feed rate are the dominant variables on responses.

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