Autonomous maintenance for lathe machine (Model: Optimum D-420)

Adzman, Amirul Aizat (2021) Autonomous maintenance for lathe machine (Model: Optimum D-420). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project is performed based on analysis of autonomous maintenance for Lathe Machine (Model: Optimum D-420). Analysis of abnormalities for lathe machine is a way to detect fuguai or abnormalities that occurring on the lathe machine (Model: Optimum D-420). Therefore, autonomous maintenance like a flow of programme approach will help to prevent the lathe machine from breakdown by reacting faster and know how to do the maintenance personnel to prevent long-term breakdown. However, that will be affected the cost of sustain maintenance for the lathe machine. AM also represents for the user to understand and appreciate the function of the machine. Thus, the benefit of this approach is that it reduces maintenance costs and time by detecting and identifying which parts should be maintained and which maintenance actions should be performed. Although, the problem will occur if the machine cannot be used in the learning centre and it will impact all new users who want to learn on how to operate a lathe machine. The reason for the knowledge of autonomous maintenance and function of the lathe machine is to make sure to fulfill all the requirements that the user wants. From this research, the process of proposing best practices for eliminating fuguai as require in the basic AM programme by using fuguai tags or (F-tags). F-tags represent to place area where abnormalities are found on the lathe machine. Besides, the F-tags are divided into three categories such as physical, safety, and function of the problem description. It also states the machine type and the date of abnormalities. Lastly, autonomous maintenance is a preventive maintenance method that emphasizes the "manmachine" interaction in order to successfully conduct the following tasks such as cleaning, lubricating, and tightening. The approach supports the maintenance engineering team in implementing an autonomous maintenance strategy with their production assets in a precise way.

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