The new norm for heavy equipment manufacturers is how to address increasing massive complexity in machine design while improving the engineering process.
Off-highway manufacturers need to control multiple aspects of the engineering process efficiently by developing digital twins and implementing predictive engineering analytics. By using a solution with multi-attribute balancing to handle to mass complexity, the result is reduced development costs, more variants, and faster time-to-market.
Register for this webinar and learn how an integrated test and simulation approach help you improve heavy equipment performances early on in the development cycle and prevent costly redesign.
- Key challenges in heavy equipment engineering
- Addressing those challenges with Predictive Engineering Analytics
- Optimization of fuel economy & thermal comfort, to meet regulations
- Optimization to support structural Integrity & durability under realistic loading
- Optimization to support productivity & reliability, comfort & safety
- Optimization of driver comfort, while meeting noise & vibration regulations & ISO certification
- Optimization to support the mechatronic system evolution
- Customer case study
By combining physics-based simulations with insights gained test from data analytics, Simcenter helps you optimize, design and deliver innovations faster and with greater confidence.
Patrick Farrell brings over 19 years of experience and success in the CAE industry to Siemens PLM. As Sr. Marketing Manager for Simulation in the Product Engineering Software business segment, Mr. Farrell is responsible for worldwide product marketing of NX CAE, NX Nastran and Teamcenter Simulation Process Management. Prior to joining Siemens in 2008, Mr. Farrell was product manager at MSC Software for four years. Mr. Farrell also spent six years with Altair Engineering in a number of roles including technical support, applications engineer and business manager for Asia/Pacific while based in Tokyo, Japan. Mr. Farrell holds an M.B.A. degree from the University of Southern California and a B.S. degree in Mechanical Engineering from the University of Michigan.