Author
D.K Aspinwall
Bio: D.K Aspinwall is an academic researcher. The author has contributed to research in topics: Machinability & Tungsten carbide. The author has an hindex of 1, co-authored 1 publications receiving 163 citations.
Topics: Machinability, Tungsten carbide, Machining, Machine tool
Papers
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TL;DR: In this paper, the authors present a review of HSM machinability work over the last decade and include tool life, workpiece surface finish/dimensional accuracy and cost data.
165 citations
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TL;DR: In this paper, the authors mainly reviewed research and development work in the machining of nickel-based high temperature alloys carried out over the last 15 years with the objective of assessing the present scenario.
Abstract: Nickel-based high temperature alloys have excellent physical properties, which make them ideal for use in the manufacture of aerospace components. However, they exhibit poor machinability. Though conventional machining in industries is currently being carried out using carbide tools, there is little scope for improving the material removal rate. Machining, being a major operation, needs to be improved in order to reduce the throughput time. High Speed Machining (HSM) is a promising technique for increasing productivity in this regard. This paper mostly reviews research and development work in the machining of nickel-based high temperature alloys carried out over the last 15 years with the objective of assessing the present scenario. Emphasis is laid on Inconel 718, which is most commonly used. Both turning and milling operations using conventional and High Speed (HS) machining are reviewed herein. HSM is discussed at length in comparison with conventional machining, as it is possible to drastical...
252 citations
Journal Article•
TL;DR: In this article, the T aguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel, and the results match closely with ANOV A and cutting speed is most influencing parameter.
Abstract: In this paper , T aguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel. A L 18 array , signal-to-noise ratio and analysis of variance (ANOV A) are applied to study performance characteristics of machining parameters (cutting speed, feed, depth of cut and width of cut) with consideration of surface finish and tool life. Chipping and adhesion are observed to be main causes of wear . Results obtained by T aguchi method match closely with ANOV A and cutting speed is most influencing parameter . Multiple regression equations are formulated for estimating predicted values of surface roughness and tool wear
237 citations
TL;DR: In this paper, the authors investigated the effect of three cutting parameters, namely cutting speed, feed rate and depth of cut on two performance measures, flank wear (VB) and surface roughness (Ra), and determined the relationship between the parameters and the performance measures using multiple linear regression.
223 citations
TL;DR: In this paper, the authors present a brief overview of HSC technology and present current progress in high performance machining of cast iron and alloy steels used in die and mold manufacturing.
203 citations
TL;DR: In this paper, the influence of cutting speed, feed rate and workpiece angle on SI (workpiece surface roughness, microstructure, microhardness and residual stress) was studied using a full factorial experimental design with two levels of each factor.
190 citations