scholarly journals Effect of Machining Parameters on Tool Wear in Hard Turning of AISI D3 Steel

2014 ◽  
Vol 97 ◽  
pp. 338-345 ◽  
Author(s):  
Varaprasad.Bh ◽  
Srinivasa Rao.Ch ◽  
P.V. Vinay
Keyword(s):  
Tool Wear ◽  
Hard Turning ◽  
Machining Parameters ◽  
Aisi D3 Steel

scholarly journals Effect of Machining Parameters on Tool Wear and Nodal Temperature in Hard Turning of AISI D3 Steel

OALib ◽  
2014 ◽  
Vol 01 (06) ◽  
pp. 1-12
Author(s):  
Varaprasad Bhemuni ◽  
Srinivasa Rao Chelamalasetti ◽  
Siva Prasad Kondapalli
Keyword(s):  
Tool Wear ◽  
Hard Turning ◽  
Machining Parameters ◽  
Aisi D3 Steel

Designing and implementation of a novel online adaptive control with optimization technique in hard turning

2020 ◽  
pp. 095965182095219
Author(s):  
Vahid Pourmostaghimi ◽  
Mohammad Zadshakoyan
Keyword(s):  
Adaptive Control ◽  
Tool Wear ◽  
Hard Turning ◽  
Cutting Tool ◽  
Optimization Technique ◽  
Cutting Parameters ◽  
Numerical Control ◽  
Machining Process ◽  
Machining Parameters ◽  
Optimization Methodology

Determination of optimum cutting parameters is one of the most essential tasks in process planning of metal parts. However, to achieve the optimal machining performance, the cutting parameters have to be regulated in real time. Therefore, utilizing an intelligent-based control system, which can adjust the machining parameters in accordance with optimal criteria, is inevitable. This article presents an intelligent adaptive control with optimization methodology to optimize material removal rate and machining cost subjected to surface quality constraint in finish turning of hardened AISI D2 considering the real condition of the cutting tool. Wavelet packet transform of cutting tool vibration signals is applied to estimate tool wear. Artificial intelligence techniques (artificial neural networks, genetic programming and particle swarm optimization) are used for modeling of surface roughness and tool wear and optimization of machining process during hard turning. Confirmatory experiments indicated that the efficiency of the proposed adaptive control with optimization methodology is 25.6% higher compared to the traditional computer numerical control turning systems.

Analysis of Surface Integrity for DIN 100Cr6 Steel Conical Bearing Rings after Hard Turning

2011 ◽  
Vol 223 ◽  
pp. 473-482 ◽  
Author(s):  
Sergio Delijaicov ◽  
Carlos Eddy Valdez Salazar ◽  
Éd Claudio Bordinassi ◽  
Linilsson Rodrigues Padovese
Keyword(s):  
Tool Wear ◽  
Residual Stresses ◽  
Hard Turning ◽  
White Layer ◽  
Cutting Speed ◽  
Hole Drilling ◽  
Machining Parameters ◽  
Hole Drilling Method ◽  
Conical Bearing ◽  
Bearing Rings

This work studies the influence of machining parameters, such as cutting speed and forces, feed rate, cutting depth, and tool flank wear, on the generation of surface residual stresses in DIN 100Cr6 steel conical bearing rings submitted to a hard turning process. A complete factorial planning was used to perform the tests and projected measurement. Cutting forces were measured by a piezoelectric dynamometer and residual stresses were determined by the hole-drilling method using strain gage. Results showed that after 2000 m of tool machining, phase transformations had been observed on sample surfaces, with white layer formation, and deeper, a dark layer whose thickness varied depending on the severity level of turning and the tool wear (in machined distance). Increase in tool wear generated minor values of compressive residual stresses and the surface roughness presented almost the same values in all experiments, except when the bigger parameters were used.

scholarly journals The Optimization of Machining Parameters on Surface Roughness for AISI D3 Steel

2021 ◽  
Vol 1874 (1) ◽  
pp. 012063
Author(s):  
Khair Khalil ◽  
A. Mohd ◽  
C. O. C. Mohamad ◽  
Y. Faizul ◽  
S Zainal Ariffin
Keyword(s):  
Surface Roughness ◽  
Machining Parameters ◽  
Aisi D3 Steel

Multiresponse Optimization of Al Alloy-SiC Composite Machining Parameters for Minimum Tool Wear and Maximum Metal Removal Rate

2013 ◽  
Vol 135 (2) ◽  
Author(s):  
Rajesh Kumar Bhushan
Keyword(s):  
Tool Wear ◽  
Metal Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Al Alloy ◽  
Machining Parameters ◽  
Metal Removal Rate ◽  
Nose Radius ◽  
Multiresponse Optimization

Optimization in turning means determination of the optimal set of the machining parameters to satisfy the objectives within the operational constraints. These objectives may be the minimum tool wear, the maximum metal removal rate (MRR), or any weighted combination of both. The main machining parameters which are considered as variables of the optimization are the cutting speed, feed rate, depth of cut, and nose radius. The optimum set of these four input parameters is determined for a particular job-tool combination of 7075Al alloy-15 wt. % SiC (20–40 μm) composite and tungsten carbide tool during a single-pass turning which minimizes the tool wear and maximizes the metal removal rate. The regression models, developed for the minimum tool wear and the maximum MRR were used for finding the multiresponse optimization solutions. To obtain a trade-off between the tool wear and MRR the, a method for simultaneous optimization of the multiple responses based on an overall desirability function was used. The research deals with the optimization of multiple surface roughness parameters along with MRR in search of an optimal parametric combination (favorable process environment) capable of producing desired surface quality of the turned product in a relatively lesser time (enhancement in productivity). The multi-objective optimization resulted in a cutting speed of 210 m/min, a feed of 0.16 mm/rev, a depth of cut of 0.42 mm, and a nose radius of 0.40 mm. These machining conditions are expected to respond with the minimum tool wear and maximum the MRR, which correspond to a satisfactory overall desirability.

scholarly journals Machinability Study of Hybrid Nanoclay-Glass Fibre Reinforced Polyester Composites

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
P. Prabhu ◽  
P. Jawahar ◽  
M. Balasubramanian ◽  
T. P. Mohan
Keyword(s):  
Tool Wear ◽  
Glass Fibre ◽  
Microstructural Analysis ◽  
Process Parameter ◽  
Optimum Process ◽  
Machining Parameters ◽  
Twist Drill ◽  
End Mill ◽  
Glass Fibre Reinforced ◽  
Polyester Composites

Glass fibre reinforced polyester composites (GRP) and hybrid nanoclay and glass fibre reinforced polyester nanocomposites (CGRP) are fabricated by vacuum assisted resin infusion technique. The optimum mechanical properties are obtained for CGRP with 3 wt.% nanoclay. Three types of drills (carbide twist drill D 5407060, HSS twist drill BS-328, and HSS end mill (4 flutes “N”-type end mill RH-helical flute)) of 6 mm diameters are used to drill holes on GRP and CGRP. Three different speeds (600, 852, and 1260 rpm) and two different feeds (0.045, 0.1 mm/rev) are selected as process parameters. The effect of process parameter on thrust force and delamination during drilling CGRP is analyzed for optimizing the machining parameters. The delamination factor is low for the optimum process parameter (feed = 0.1 mm/rev and speed 852 rpm). Microstructural analysis confirms that at higher feeds, delamination is low for CGRP drilled with carbide tools. In order to analyze the effect of nanoclay in CGRP on tool wear, 200 holes were drilled on CGRP samples with 3 wt.% nanoclay, and the tool wear is analyzed under optimized parametric condition. Tool wear is high in HSS twist drill compared with carbide drill. The presence of nanoclay also accelerates the tool wear.

Analysis on Finish Hard Turning of Ti-6.5Al-3.5Mo-1.5Zr-0.3Si Alloy

2009 ◽  
Vol 626-627 ◽  
pp. 225-230 ◽  
Author(s):  
Wei Wei Ming ◽  
Ming Chen ◽  
Bin Rong
Keyword(s):  
Corrosion Resistance ◽  
Elevated Temperature ◽  
Tool Wear ◽  
Hard Turning ◽  
Density Ratio ◽  
High Strength ◽  
Excellent Performance ◽  
Good Corrosion Resistance ◽  
Tool Wear Mechanism ◽  
Finish Hard Turning

Titanium alloys are extensively applied in aerospace, automotive, biomedical, and chemical industries owing to their excellent performance combining high strength-to-density ratio, good corrosion resistance, and high strength at elevated temperature. Ti-6.5Al-3.5Mo-1.5Zr-0.3Si (TC11) alloys are used to replace the most common Ti-6Al-4V in some important applications such as some parts in aerospace engine. The purpose of this paper is to evaluate the machinability of TC11 alloys in the finish hard turning conditions. The paper presents the machinability results of TC11 alloys compared with Ti-6Al-4V, and analyzes the variables such as cutting force, surface integrity, and tool wear mechanism in the experiments.

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