ADVENTURECluster2025: A Leap Forward in Computational Efficiency
Allied Engineering Co., Ltd., part of the SCSK Group, has officially launched the latest version of its high-performance computational analysis software, ADVENTURECluster2025, on October 1, 2025. This homegrown software has the capability to conduct structural evaluations on large-scale mesh models exceeding ten million to up to one hundred million nodes, revolutionizing how industries approach product development.
Significance of ADVENTURECluster in the Industry
Since its debut in 2001, ADVENTURECluster has been successfully adopted by over 100 domestic companies, including major automobile manufacturers, heavy machinery and electrical equipment producers, and precision machinery firms. The software’s rapid analysis capabilities have made it indispensable in various fields, leading to enhanced product development timelines and improved quality metrics, particularly through the use of digital twin technology.
Enhancements in the Latest Version
The new version of ADVENTURECluster brings significant upgrades inspired by a proactive development policy focusing on three core areas: enhancing computational performance, advancing analysis technologies, and improving user experience. Notable features include:
1. Hybrid Parallel Processing
The integration of MPI (Message Passing Interface) and OpenMP (Open Multi-Processing) has achieved more than double the speed of computation compared to previous versions. This hybrid approach maintains stable performance even with over 100 parallel tasks, drastically reducing analysis times for large models.
2. Optimization Support for Lightweight Parts
A newly introduced static reduction feature allows for the replacement of non-optimized parts with static models. This reduces computational workload, enabling users to test multiple evaluation criteria in a short time frame efficiently. Additionally, optimization results can be outputted in STEP format, facilitating seamless integration with CAD systems.
3. High-Precision Hashiguchi Plasticity Model
The inclusion of the Hashiguchi plasticity model allows for precise predictions of springback in molded parts and analyses of fatigue behavior due to repeated deformation. This advancement supports the evaluation of a product's durability and the impact of manufacturing processes on performance. The new version also offers tools for material parameter identification, lowering operational barriers for users.
4. Casting Component Analysis
A critical function added to the software is the automatic removal of unnecessary contact surfaces during the design phase. This innovation leads to faster analysis times by excluding undercut sections prone to interference during mold release, improving the overall quality and yield of products.
Future Prospects
As product life cycles shorten and market demands diversify, the need for rapid and flexible development in manufacturing becomes increasingly vital. Over the next three years, Allied Engineering plans to implement new solvers like AMG to enhance the analysis capabilities of thin-walled structures. Moreover, AI-driven tools are in development to automate the setup and support for analysis conditions, coupled with a shape-generation AI designed for ease of use.
Commitment to Sustainability
Allied Engineering prioritizes contributions to society through continuous technological innovation and aims to provide solutions that not only meet industrial needs but also focus on sustainability. The company strongly emphasizes reducing environmental impact through effective CAE utilization in enhancing product quality and productivity.
About Allied Engineering Co., Ltd.
Founded in 1981, Allied Engineering Co., Ltd. has consistently pursued technical innovation with the goals of contributing to customers and society as a whole. With its headquarters located in Koto-ku, Tokyo, the company specializes in developing the ADVENTURECluster CAE system and provides consultation, sales, and contractual analysis services.
For more information, please visit
Allied Engineering.