A Preventive Maintenance Methodology for CMH 400 Machines

Authors(2) :-Kunwar Chandra, Dr. Alok Singh

The technological advancements in field of Computer aided design and manufacturing have led to development of conventional numeric control. The conceptual framework initially designed during the early developments still undergoes few small customized changes as per the challenges. CNC Machines are the contrast to the conventional machining operations which were initially either hand operated, lever operated or semi-automated by the use of the cams. Machines though numerically controlled are not failure proof and failures are uncertain in nature and a necessary evil which hampers the normal operation of machine by increasing the down time. To counter such real problems effective maintenance strategies are planned to reduce the chances of failure and thus increase the MTTF (mean time to failure) and MTBF (mean time between failure).This paper emphasizes on the preparation of Preventive Maintenance strategy plans of a CNC Machine at an Automobile Industry considering various causes of failure, diagnosis, remedies and maintenance tasks to be performed. A detailed Preventive Maintenance plan is prepared for the machine which includes daily activities, weekly tasks and half yearly plans for the machine.

Authors and Affiliations

Kunwar Chandra
PG Scholar, Mechanical Engineering Department, MANIT Bhopal, Madhya Pradesh, India
Dr. Alok Singh
Assistant Professor, Mechanical Engineering Department, MANIT Bhopal, Madhya Pradesh, India

C, Preventive Maintenance, diagnosis, MTTF, MTBF.

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 643-648
Manuscript Number : IJSRST1733200
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Kunwar Chandra, Dr. Alok Singh, " A Preventive Maintenance Methodology for CMH 400 Machines", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.643-648, March-April-2017.
Journal URL : http://ijsrst.com/IJSRST1733200

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