MAKE AN ENQUIRY
Home > Faculty

Serving SIES for more than 10 year(s).

prashant.ambadekar@siesgst.ac.in

Dr. Prashant Kamalakar Ambadekar

Assistant Professor
MECHANICAL ENGINEERING



B.E. (Production Engineering)
M.E. - (Production Technology and Management)
PhD (Mechanical Engineering)
Course Title Material URL
Course Material Link View Material
From Date To Date Designation Organization Organization Address
2007-07-02 2012-06-03 SENIOR LECTURER Shreeram Polytechnic Airoli
2006-08-17 2006-07-30 LECTURER Father Agnel Polytechnic Vashi
2012-07-05 0000-00-00 Assistant Professor SIES Graduate School of Technology Sector-5, Nerul
Date Title Type Level Academic Year
2019-07-20 Application of Gabor Filter for Monitoring Wear of Single Point Cutting Tool Communications in Computer and Information Science book series International 2019-20
2020-04-09 CNN based tool monitoring system to predict life of cutting tool Journal International 2019-20
2020-03-02 Measurement of Tungsten Carbide Tool Wear by Tribological Investigations Journal International 2019-20
2021-02-26 Performance Improvement of OEM Brake Caliper by Manufacturing with Design Changes Lecture Notes in Mechanical Engineering book series (LNME) International 2020-21
2022-04-22 Machine Learning Application for Prediction of Surface Roughness of Milled Surface Lecture Notes in Mechanical Engineering book series (LNME) International 2021-22
Date Title Presented/Published Level Academic Year Organizer / Venue
2019-09-27 APPLICATION OF GRAY LEVEL CO-OCCURRENCE MATRIX AS A FEATURE EXTRACTION TECHNIQUE TO MONITOR WEAR OF CUTTING TOOL Presented And Published International 2018-2019 EQUINOX 2018: 4th International Conference On Engineering Confluence At Terna College Of Engineering
Terna College Of Engineering
The Traditional Methods Make Use Of Sensors To Monitor The Wear Of A Cutting Tool. The Application Of Digital Image Processing In Determining Tool Wear Is Gaining Importance. GLCM Is The Most Widely Used Higher Order Statistical Technique For Feature Extraction To Monitor Tool Wear. Contrast And Homogeneity Has Been Proved As The Two Best Texture Descriptors Of GLCM. The Accuracy Of GLCM Largely Depends On The Orientation Of The Pixels Considered To Obtain These Descriptors. This Paper Presents The Effect Of Varying Pixel Pair Spacing (pps) And Pixel Pair Direction (ppd) On Contrast And Homogeneity. An Attempt Is Made To Provide One Of The Solutions To Consider The Orientation Of The Pixels While Computing GLCM.
2018-12-21 CRITICAL STUDY OF TOOL CONDITION MONITORING RELATED TO SENSOR AND IMAGE PROCESSING BASED METHODS Presented International 2018-2019 4th International Conference On Production And Industrial Engineering, CPIE - 2016 At NIT Jalandhar
NIT Jalandhar
The Aim Of Tool Condition Monitoring Is To Keep Surveillance On The Cutting Tool During Machining. TCM Is Becoming Increasingly Important As It Influence The Process Economy And Quality Of Machined Part. This Paper Presents The Overview Of Various Techniques For Data Acquisition, Data Processing And Classification Techniques Reported In The Literature For Tool Condition Monitoring. The Monitoring Methods May Use Sensors Or Vision System To Acquire Signal From The Process. More Emphasis Is Given On Image Processing Based Monitoring Techniques Than Sensors Based Techniques That Are Less Accurate. The Integration Of Sensor And Image Processing Based Techniques Are Elaborated As Novel Work In This Paper. The Work Also Provides A Platform For Researchers Who Wish To Execute Their Study In The Area Of TCM.
Date Title Type Level Role Venue
2019-05-13 One Week STTP On Introduction To Machine Learning And Deep Learning - With Applications To Engineering Systems Organised By IIT Mumbai FACULTY DEVELOPMENT PROGRAM NATIONAL PARTICIPANT IIT Bombay
2019-12-09 One Week STTP On Design Thinking, Innovation And IPR Organised By Bharati Vidyapeeth WORKSHOP NATIONAL PARTICIPANT BVCOE
2019-12-09 One Week STTP On Design Thinking, Innovation And IPR Organised By Bharati Vidyapeeth WORKSHOP NATIONAL PARTICIPANT BVCOE
Academic Year Type Details
2018-2019 Personal Successfully Completed IIT Madras NPTEL Course On Introduction To Operations Research In Elite Category During August-September 2018.
2017-2018 Personal Successfully Completed IIT Roorkee NPTEL Course On Automatic Control In Elite Category During February-March 2018.

Important Links

FACULTY LOGIN

© 2024 SIES Graduate School Of Technology. All Rights Reserved.

Maintained by MiracleworX Web Design Mumbai
TOP