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Kalipada Maity

Bio: Kalipada Maity is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Machining & Machinability. The author has an hindex of 20, co-authored 109 publications receiving 1228 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a general regression neural network (GRNN) model was developed to precisely predict and compare few significant WEDM machinability aspects like surface roughness [arithmetic mean roughness (Ra), root mean square roughness and maximum peak-to-valley height (Rz)] and micro-hardness (MH) of shape memory alloy nitinol.

98 citations

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TL;DR: In this article, three nickel base alloys (Inconel 718, Inconel 625 and Monel-400) have been studied for chip formation in the hot turning process using flame heating.

84 citations

Journal ArticleDOI
TL;DR: In this article, an experimental investigation had been carried out for hot-machining operation of high manganese steel using a carbide cutting tool, where the heating of the workpiece was carried out by burning a mixture of liquid petroleum gas and oxygen.

66 citations

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TL;DR: The adequacy of the multivariate VIKOR-Fuzzy approach was verified by performing confirmation test which exhibited improvement in WEDM responses.

64 citations

Journal ArticleDOI
TL;DR: In this paper, a new composition of response surface methodology and grey relational analysis coupled with principal component analysis has been proposed to evaluate and estimate the effect of machining parameters on the responses.
Abstract: An optimization concept of the various machining parameters for the plasma arc cutting procedures on AISI 316 stainless steel conducting a hybrid optimization method has been carried out. A new composition of response surface methodology and grey relational analysis coupled with principal component analysis has been proposed to evaluate and estimate the effect of machining parameters on the responses. The major responses selected for these analyses are kerf, chamfer, dross, surface roughness and material removal rate, and the corresponding machining parameters concentrated for this study are feed rate, current, voltage and torch height. Thirty experiments were conducted on AISI 316 stainless steel workpiece materials based on a face-centered central composite design. The experimental results obtained are applied in grey relational analysis, and the weights of the responses were evaluated by the principal component analysis and further evaluated using response surface method. The results show that the grey relational grade was significantly affected by the machining parameters directly as well as with some interactions. This method is straightforward with easy operability, and the results have also been established by running confirmation tests. The premise attributes beneficial knowledge for managing the machining parameters to enhance the preciseness of machined parts by plasma arc cutting.

62 citations


Cited by
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Journal Article
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

13,333 citations

Book
01 Dec 1973

779 citations

Journal ArticleDOI
TL;DR: In this article, the state-of-the-art on various surface integrity characteristics during machining of nickel-based super alloys are presented, including surface roughness, defects (surface cavities, metal debris, plucking, smeared material, redeposited material, cracked carbide particles, feed marks, grooves and laps).
Abstract: Nickel-based super alloys are gaining more significance, now-a-days, with extensive applications in aerospace, marine, nuclear reactor and chemical industries. Several characteristics including superior mechanical and chemical properties at elevated temperature, high toughness and ductility, high melting point, excellent resistance to corrosion, thermal shocks, thermal fatigue and erosion are primarily responsible for wide domain of application. Nevertheless, machined surface integrity of nickel-based super alloys is a critical aspect which influences functional performance including fatigue life of the component. This review paper presents state-of-the-art on various surface integrity characteristics during machining of nickel-based super alloys. Influence of various cutting parameters, cutting environment, coating, wear and edge geometry of cutting tools on different features of surface integrity has been critically explained. These characteristics encompass surface roughness, defects (surface cavities, metal debris, plucking, smeared material, redeposited material, cracked carbide particles, feed marks, grooves and laps), metallurgical aspects in the form of surface and sub-surface microstructure phase transformation, dynamic recrystallisation and grain refinement and mechanical characteristics such as work hardening and residual stress. Microstructural modification of deformed layer, profile of residual stresses and their influence on fatigue durability have been given significant emphasis. Future research endeavour might focus on development of new grades, advanced processing techniques of the same to ensure their superior stability of microstructure and thermo-mechanical properties along with advanced manufacturing processes like additive manufacturing to achieve highest level of fatigue durability of safety critical components while maintaining acceptable surface integrity and productivity.

403 citations

Journal ArticleDOI
TL;DR: In this paper, the up-to-date progress and benefits of thermally enhanced machining (with a focus on laser and plasma assistance) of ceramics, metals and metal matrix composites are summarized.
Abstract: Thermally enhanced machining uses external heat sources to heat and soften the workpiece locally in front of the cutting tool. The temperature rise at the shear zone reduces the yield strength and work hardening of the workpiece, which make the plastic deformation of hard-to-machine materials easier during machining. This review summarizes the up-to-date progress and benefits of thermally enhanced machining (with a focus on laser and plasma assistance) of ceramics, metals and metal matrix composites. It covers the integration of the external heat source with cutting tools, analysis of temperature distribution around the cutting region, material removal mechanisms, tool wear mechanisms and the improvement in machinability of various engineering materials by the assistance of external heat source.

266 citations

Journal ArticleDOI
TL;DR: In this article, the effects of tool wear on surface integrity in cutting titanium and nickel alloys are reviewed, including surface topography (surface defects and surface roughness), microstructural alterations (plastic deformation, grain sizes, and white layer), and mechanical properties (microhardness and residual stress).

145 citations