Journal ArticleDOI
Modelling and multiresponse optimization for minimizing burr height, thrust force and surface roughness in drilling of ferritic stainless steel
Mustafa Günay,Tolga Meral +1 more
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TLDR
In this article, the authors focused on the modeling and minimizing burr height (Bh), thrust force (Fz), and surface roughness (Ra) during drilling of AISI 430 ferritic stainless steel with uncoated carbide drill under dry condition.Abstract:
Although there have been many studies on the drillability of various grades of stainless steel, there is no scientific research on the drilling of ferritic stainless steel. Also, the burr at hole exit means the need for secondary machining operation and indirectly increases the production cost. Thus, this study focused on the modeling and minimizing burr height (Bh), thrust force (Fz) and surface roughness (Ra) during drilling of AISI 430 ferritic stainless steel with uncoated carbide drill under dry condition. Bh, Fz and Ra based on different cutting speed and feed rates were measured during drilling tests, and then cutting parameters were optimized by applying Taguchi based grey relational analysis. Moreover, the mathematical models were created by employing the response surface method to predict the machining outputs. The thrust force and the surface roughness decreased while the burr height increased with the increase in cutting speed. Uniform burr formation with drill cap was observed for all machining parameters under dry environment. The effect levels of feed rate and cutting speed on burr height were determined as 54.82% and 44.67%, respectively. These result shows that cutting speed is as important as the feed rate during the drilling of the ferritic stainless steel. In the current study, the best suitable levels of feed rate and cutting speed were detected as 0.12 mm/rev and 45 m/min for minimizing Bh, Fz and Ra. The coefficients of determination obtained by RSM indicated a relationship in high level between the cutting parameters and machining outputs.read more
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Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach
TL;DR: In this article, the authors used Taguchi-based grey relational analysis (GRA) to optimize the surface roughness (Ra) and heat-affected zone (HAZ) in fiber laser drilling of AISI 303 material.
Journal ArticleDOI
Modelling and Optimization for Thrust Force, Temperature and Burr Height in Drilling of Custom 450
TL;DR: In this article, the authors used the L16 orthogonal arrays of Taguchi method to model and minimize the thrust force, drill bit temperature and burr height values, experiments and measurements were carried out using the L 16 Orthogonal array of taguchi method and optimized simultaneously by applying Taguchi-based Grey Relational Analysis (GRA) with the help of the data obtained from the experiments.
Journal ArticleDOI
Investigation of Thrust Force, Drill Bit Temperature and Burr Height in the Drilling of Aluminum Alloy Used in Ammunition Wing Drive Systems
H. Gökçe,M. A. Biberci +1 more
TL;DR: In this article, the effect of drilling parameters and carbide drill bits in drilling of Al 5083 H116 alloy was investigated using the Taguchi-based Grey Relational Analysis (GRA).
Journal ArticleDOI
Modeling and multiple optimization in face milling of hardfacing welding applied steel: Force, roughness, power
TL;DR: In this paper , the authors present a comprehensive analysis of machining conditions for above mentioned machinability indicators that can be considered most important for sustainability in hard milling of a worn machine part.
Journal ArticleDOI
Multiresponse optimization of performance indicators through Taguchi-grey relational analysis in EDM of cemented carbide
TL;DR: In this article , the impact of die-sinking EDM on performance indicators of discharge current, pulse time, and pulse interval were investigated with 3D surface topography images.
References
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Journal ArticleDOI
A review of optimization techniques in metal cutting processes
TL;DR: The application potential of several modelling and optimization techniques in metalcutting processes, classified under several criteria, has been critically appraised, and a generic framework for parameter optimization in metal cutting processes is suggested for the benefits of selection of an appropriate approach.
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Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis
TL;DR: In this article, the use of grey relational analysis for optimising the drilling process parameters for the work piece surface roughness and the burr height is introduced, where various drilling parameters, such as feed rate, cutting speed, drill and point angles of drill were considered.
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Burrs—Analysis, control and removal
TL;DR: In this paper, a review of burr classifications along with the corresponding measurement technologies is described, and a number of case studies on burr formation, control and deburring along with their economic implications are presented.
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Changes of microstructures and high temperature properties during high temperature service of Niobium added ferritic stainless steels
TL;DR: In this article, changes of microstructures and high temperature properties in high temperature aging were investigated using several Niobium added ferritic stainless steels, and it was found that the microstructure stability of Nb-Ti-Mo alloyed steels in high- temperature aging is superior to that of nb added steels.
Journal ArticleDOI
Finite Element Modeling of Burr Formation Process in Drilling 304 Stainless Steel
Yuebin Guo,David Dornfeld +1 more
TL;DR: In this article, a 3D finite element model was developed for the simulation of drilling burr formation processes of 304L stainless steel, which simultaneously accounts for dynamic effects of mass and inertia, strain hardening, strain rate, automatic mesh contact with friction capability, material ductile failure and temperature-mechanical coupling.