AI-Driven Enhancements across Mechanical Product Engineering Lifecycle
Keywords:
Artificial Intelligence, AI Integrated Mechanical Design, AI Integrated Manufacturing, AI Integrated Quality ControlAbstract
Artificial Intelligence (AI) has emerged as a transformative force in the field of mechanical engineering, influencing key stages of the product engineering lifecycle, including design, manufacturing, and quality control. This study explores the integration of AI technologies into traditional engineering practices, focusing on how AI enhances efficiency, accuracy, and decision making. Using a case study of plastic bottle production, the research compares traditional methods with AI-driven approaches in terms of time efficiency and process optimization. The findings reveal that AI significantly reduces design and manufacturing time, improves precision in quality control, and minimizes manual intervention. In the design phase, AI algorithms assist in generating optimized design alternatives based on historical data, while in manufacturing, predictive models streamline planning and machine setup. Quality control is notably improved through real-time monitoring and AI-based fault detection systems. These results demonstrate the potential of AI to modernize mechanical engineering workflows, offering a more intelligent, efficient, and cost-effective approach to product development. The study concludes that AI integration is not only a technological advancement but also a strategic necessity for improving productivity and maintaining competitiveness in a rapidly evolving industrial landscape.
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