Editing Computer-aided engineering (section)

==The future of CAE in the product development process==
Even though CAE has built a strong reputation as a verification, troubleshooting and analysis tool, there is still a perception that sufficiently accurate results come rather late in the [[design cycle]] to really drive the design. This can be expected to become a problem as modern products become ever more complex. They include [[smart system]]s, which leads to an increased need for multi-physics analysis including [[Control system|controls]], and contain new lightweight materials, with which engineers are often less familiar. 
CAE software companies and manufacturers are constantly looking for tools and process improvements to change this situation. 

On the software side, they are constantly looking to develop more powerful solvers, to better utilize computer resources, and to include engineering knowledge in pre and post-processing. Recent developments have seen the integration of artificial intelligence and machine learning into CAE tools, enabling real-time simulations and predictive modeling.<ref>{{Cite journal |last=Kohar |first=Christopher P. |last2=Greve |first2=Lars |last3=Eller |first3=Tom K. |last4=Connolly |first4=Daniel S. |last5=Inal |first5=Kaan |date=2021-11-01 |title=A machine learning framework for accelerating the design process using CAE simulations: An application to finite element analysis in structural crashworthiness |url=https://www.sciencedirect.com/science/article/abs/pii/S004578252100339X |journal=Computer Methods in Applied Mechanics and Engineering |volume=385 |pages=114008 |doi=10.1016/j.cma.2021.114008 |issn=0045-7825|url-access=subscription }}</ref> On the process side, they try to achieve a better alignment between 3D CAE, 1D system simulation, and physical testing. This should increase modeling realism and calculation speed. 

CAE software companies and manufacturers try to better integrate CAE in the overall [[Product lifecycle|product lifecycle management]]. In this way they can connect product design with product use, which is needed for smart products. This enhanced engineering process is also referred to as [[predictive engineering analytics]].<ref>{{cite journal|last1=Van der Auweraer|first1=Herman|last2=Anthonis|first2=Jan|last3=De Bruyne|first3=Stijn|last4=Leuridan|first4=Jan|title=Virtual engineering at work: the challenges for designing mechatronic products|journal=Engineering with Computers|date=2012|volume=29|issue=3|pages=389–408|doi=10.1007/s00366-012-0286-6|doi-access=free}}</ref><ref>{{cite journal|last1=Seong Wook Cho|last2=Seung Wook Kim|last3=Jin-Pyo Park|last4=Sang Wook Yang|last5=Young Choi|title=Engineering collaboration framework with CAE analysis data|journal=International Journal of Precision Engineering and Manufacturing|date=2011|volume=12}}</ref>