Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Abhishek D. Patange"'
Autor:
Naman S. Bajaj, Abhishek D. Patange, R. Jegadeeshwaran, Sujit S. Pardeshi, Kaushal A. Kulkarni, Rohan S. Ghatpande
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200196- (2023)
With the arrival of Industry 4.0, intelligent condition-based maintenance has become a must, if not a need, for industries with significant capital investments in rotating machineries. Tool Condition Monitoring (TCM) is one of the strategic research
Externí odkaz:
https://doaj.org/article/5149525e7ecc4b0489c29bd377349c78
Publikováno v:
Logistics, Vol 7, Iss 3, p 60 (2023)
Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its approp
Externí odkaz:
https://doaj.org/article/1c63248ce6c14ba4b63aa3fb306fa8d6
Autor:
Keshav Jatakar, Varsha Shah, Rüstem Binali, Emin Salur, Hacı Sağlam, Tadeusz Mikolajczyk, Abhishek D. Patange
Publikováno v:
Machines, Vol 11, Iss 8, p 790 (2023)
Condition monitoring provides insights into the type of damage occurring in the cutting tool during machining to facilitate its timely maintenance or replacement. By detecting and analyzing machining consequences (vibrations, chatter, noise, power co
Externí odkaz:
https://doaj.org/article/40bda6908f574d4b8ad44e6a407ba970
Publikováno v:
Aerospace, Vol 10, Iss 7, p 658 (2023)
Heat transfer enhancement using curved ribs of different cross sections, viz., square, rectangular, triangular, and circular, is a crucial study for designing heat-exchanging devices for various applications, and their thermohydraulic performance pre
Externí odkaz:
https://doaj.org/article/0929ab4d47ab4187a1e33f034d47d79c
Autor:
Havva Demirpolat, Rüstem Binali, Abhishek D. Patange, Sujit S. Pardeshi, Sakthivel Gnanasekaran
Publikováno v:
Materials, Vol 16, Iss 12, p 4408 (2023)
In this study, a comparison of measured cutting parameters is discussed while machining AISI 52100 low-alloy hardened steel under two different sustainable cutting environments, those in which a dry and minimum quantity lubrication (MQL) medium are u
Externí odkaz:
https://doaj.org/article/0c3e904497074709854fe5bb04e675d0
Autor:
Rushikesh Pawar, Rushikesh Patil, Dhananjay Patil, Aditi Rahegaonkar, Sujit S. Pardeshi, Abhishek D. Patange
Publikováno v:
International Journal of Prognostics and Health Management, Vol Vol. 13, Iss No.1 (2022)
Road traffic injuries and deaths are a growing public health concern worldwide, majorly in developing countries. Brake failure constitutes to be one of the primary reasons for accidents. The majority of brake failures are caused due to overheating of
Externí odkaz:
https://doaj.org/article/2f6211adf60e48a88a7cb3b18903c82f
Publikováno v:
Sensors, Vol 23, Iss 4, p 1872 (2023)
The controlled interaction of work material and cutting tool is responsible for the precise outcome of machining activity. Any deviation in cutting parameters such as speed, feed, and depth of cut causes a disturbance to the machining. This leads to
Externí odkaz:
https://doaj.org/article/b6c4bf409a4c4ac68be9224d263f0233
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 460 (2022)
This paper proposes a novel scheme titled ‘selective exchange of the worn cutting edge (SEWCE),’ which uses the cutting edge for an extended time by replacing the worn-out edge. This possibility was investigated for single-edge cutting tools for
Externí odkaz:
https://doaj.org/article/d9f5be05c16a44d7a942bad74685404d
Autor:
Jegadeeshwaran Rakkiyannan, Lakshmipathi Jakkamputi, Mohanraj Thangamuthu, Abhishek D. Patange, Sakthivel Gnanasekaran
Publikováno v:
Sensors, Vol 22, Iss 21, p 8200 (2022)
This paper deals with the design and development of a silver–polyester thick film sensor and associated system for the wear-out detection of single-point cutting tools for low-duty cycle machining operations. Conventional means of wear-out detectio
Externí odkaz:
https://doaj.org/article/4e137f3727d446fbb8c89e72b0863cd0
Application of Bayesian Family Classifiers for Cutting Tool Inserts Health Monitoring on CNC Milling
Autor:
Abhishek D. Patange, R Jegadeeshwaran
Publikováno v:
International Journal of Prognostics and Health Management, Vol 11, Iss 2 (2020)
The customized usage of tool inserts plays an imperative role in the economics of machining operations. Eventually, any in-process defects in the cutting tool lead to deterioration of complete machining activity. Such defects are untraceable by the c
Externí odkaz:
https://doaj.org/article/b38f6ed64846468aa5192a6fd0eb9aaa