Term 242

Efficient Tile Planning with Laser Marking Assistant

Project Type: Self-Initiated

Project Description

Manual tile marking in construction leads to excessive material waste, labor inefficiency, and estimation errors. This project introduces an automated tile engraving machine guided by an optimization model to improve accuracy, reduce waste, and streamline the process while meeting safety standards.


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Project Team

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Ali Malek Almatrood
EE
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Abdullah Adnan Alalawi
ICS
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Hassan Ali Abdulaal
ICS
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Mohammed Moyed Alsadiq
ISE
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Haydar Ali Almuslim
ISE
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Ahmed Sameer Almusalem
ME

Team Coach

Dr. Syed Akhtar
Dr. Syed Akhtar
Professor

Department of Mechanical Engineering

Interdisciplinary Research Center for Intelligent Manufacturing & Robotics