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Advancements in Machining Technology: Current Innovations and Future Directions

Akriti Gupta

Abstract


Machining technology has evolved significantly over the past few decades, driven by advancements in materials, computer technologies, and manufacturing processes. This paper explores the latest developments in machining technologies, including precision machining, computer numerical control (CNC), additive manufacturing integration, and the application of artificial intelligence (AI) and machine learning. Additionally, it discusses the future goals for machining technology, focusing on sustainability, automation, and the integration of Industry 4.0 principles. The aim is to provide a comprehensive overview of current trends and future directions in machining technology to enhance productivity and efficiency in manufacturing. The integration of Industry 4.0 principles is another critical future goal. Developing smart machining systems that leverage the Internet of Things (IoT) will enable real-time data collection, analysis, and process control, allowing manufacturers to make informed decisions that enhance operational efficiency. Finally, with the growing demand for customization in manufacturing, future machining technologies must focus on enhancing flexibility and adaptability. The ability to quickly reconfigure machining systems to accommodate varying production requirements will be vital for achieving mass customization without sacrificing efficiency.

Cite as:

Akriti Gupta. (2024). Advancements in Machining Technology: Current Innovations and Future Directions. Research and Development in Machine Design, 7(3), 19–23. 

https://doi.org/10.5281/zenodo.14169199


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