Simulation-driven Hybrid Digital Twin for Industrial Equipment Manufacturing

Amidst the complexities of industrial equipment manufacturing, simulation-driven hybrid digital if twins offer a transformative solution. This j article explores how these twins revolutionise design, operation, and maintenance by leveraging real-time data and simulation. Join us as we uncover how this cutting-edge technology reshapes the industry, providing unprecedented insights and enhancing efficiency while minimising downtime.

- Mike Yeager

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High-value machines are used for various applications like manufacturing automobiles, transportation equipment, power generation, oil and gas production, supplying clean water, packaging, and performing many other key functions. Most of these machines are designed using complex simulation to optimise processes, which include structural, fluid flow, electromagnetic, thermal, and other physical behaviours.

It has been a challenging time for most industries, with tested supply chains, global health crises, shortages of materials, rising costs, unemployment, complex logistics networks, and declining productivity. In addition to these global challenges, several operational challenges exist in industrial equipment manufacturing. Even with all the growth opportunities, the dynamic business landscape and rising global competition will mean that the challenges for industrial machine manufacturers will only increase as the market is very competitive. Manufacturers must be constantly on their toes and ready to deal with this.

For manufacturers, it is crucial to know the health of the machine and identify well in advance if a machine is headed for a breakdown, as this will lead to production loss and, hence, business impact. It is also essential to ensure the machine’s optimal operation since suboptimal operation will reduce its life in the long term. It is also pertinent to check if there are opportunities to increase the performance of a machine by changing its operating conditions or advancing its capabilities.

its capabilities.

Challenges