AI in MECHANICAL
Er Gowtham M
Assistant Professor @ SNS college of Technology || Lean Six Sigma Green Belt || Lean Manufacturing || Supply Chain Management
Artificial Intelligence (AI) has attracted interest in recent years due to AI's technological advancements and its increased ability to process large amounts of data.
Mechanical engineering faces several challenges today, such as designing systems and components for our future, respectful of sustainability and energy efficiency.
Incorporating advanced technologies into their designs can help mechanical engineering. An example of such a technology is AI and data analytics.
There has been tremendous progress in AI in areas such as autonomous vehicles. Focusing more specifically on upfront mechanical design, we will see the application of a machine learning algorithm by Neural Concept in a collaborative scenario; taken not from the future, but from the present.
AI turnkey solutions could originate from data analysis by data scientists and other expert engineers with expertise in programming languages and AI algorithms.
On the other hand, most mechanical engineers would wish to exploit AI solutions while focusing on their expertise. Examples of mechanical engineering skills are factory automation, material synthesis, and product design, including CAD.