The exploration of applying machine learning to engineering issues is continuing. In this keynote speech, based on the fundamental features of machine learning, what it can and can not do, as well as its future potential, were explained. In addition, the thoughts on the data itself to enable machine learning to make accurate predictions were presented by using engineering cases such as crack growth prediction as an example. In particular, the case that machine learning & prediction using training data generated by CAE was introduced.

・Mr. Wada, KINDAI UNIVERSITY

In Advanced Powertrain Production Technology Development Group of Nissan Motor, ADVENTURECluster was used in the development of the production technology for electrified powertrains.

While there is an urgent need to speed up the development of new technologies in the automotive industry, Nissan Motor was facing a shortage of dedicated CAE personnel.

To overcome these issues, Nissan Motor used contact analysis services (outsourcing services) of SCSK.

By using both actual equipment testing and CAE, Nissan Motor succeeded in achieving significant front-loading and cost reduction in the new electrification field (motor U-shaped bending forming process).

In this session, the background and effect of SCSK engineering analysis service was introduced as well as the future plans were presented in an interview style.

・Mr. Taguchi, Nissan Motor Co., Ltd.

Mitsubishi Heavy Industries Engine & Turbocharger, Ltd. began to widely use ADVENTURECluster from 16 years ago. As to the industry engine used for power generation and marine, the necessary auxiliary parts are placed around the engine, making the correlation between each part complex, resulting in large-scale analysis models. At the same time, from the perspective of ensuring analysis accuracy, the element division must be finely detailed.

Furthermore, to realize a decarbonized, low-carbon society, the industrial engine industry is required to handle a variety of fuels, and it is becoming essential to make ultra-short-term development based on digital verification that goes beyond the conventional approach.

In this session, the use cases and future goals of ADVENTURECluster in Mitsubishi Heavy Industries Engine & Turbocharger were presented in an interview style.

・Mr. Kamiya, Mitsubishi Heavy Industries Engine & Turbocharger, Ltd.

Nifco Inc. works for industrial fasteners’ manufacture and sale. When using CAE to analyze the fastener’s behavior, it was difficult due to large geometric deformation, slide contact between parts, material nonlinearity, and also involved cost and time issues.

To realize the front-loading of design, the methods that allow CAE to be used at an early stage and in a short period of time were explored.

In this session, the method was introduced that combines the surrogate construction function of pSeven, an optimization software we handle, with the large-scale, high-speed calculations features of ADVENTURECluster.

・Mr. Tanida, Nifco Inc.

One of the automotive parts provided by Toyoda Gosei is a sealing product. When manufacturing sealing products, long extrusion products are inserted into a mold for molding. During this process, molding defects may occur depending on the insertion state into the mold. Therefore, measures were taken through trial and error to resolve this issue.

In this approach, if the state inside the mold can be visualized by CAE, measures can be implemented in a short period of time.

This presentation introduced the behavior of extrusion products inside mold reproduced by ADVENTURECluster.

・Ms. Tsuchiyama, Toyoda Gosei Co., Ltd.

MITSUBISHI MOTORS CORPORATION introduced ADVENTURECluster about 10 years ago to apply it to the structural analysis of large-scale models.

In this case, the introduction story of ADVENTURECluster, with calculation speed and accuracy as prerequisites, was explained.

Furthermore, accuracy verification during CAE technology development was included in the structure analysis case that had been introduced.

・Mr. Kubo, MITSUBISHI MOTORS CORPORATION