[November 8 (Thursday) November 9 (Friday) Yokohama] Seminar on Simulation Tools

Equipped with features to solve two-phase flow! Rankine thermoelectric system.

"GT-SUITE" is a system-level CAE tool for analyzing waste heat recovery systems. Not only can it model waste heat systems based on the principles of the Rankine cycle, but it can also model systems that use thermoelectric materials to directly convert temperature differences into electricity. The ability to integrate waste heat subsystem models into larger vehicle system models allows for the analysis and optimization of the overall energy efficiency of the system while operating under standard unsteady conditions. 【Features】 ■ Model all components of WHR systems individually or as a complete system (Rankine or thermoelectric) ■ Detailed models of heat exchangers solved spatially ■ REFPROP properties for single and mixed refrigerants ■ Robust solver based on the Navier-Stokes equations ■ Two-phase systems for subcritical and supercritical conditions *For more details, please refer to the PDF document or feel free to contact us.

• Other Software
• others

General-purpose CFD enters the era of open source. From vendor-driven to user-driven CFD tools.

"iconCFD" is a program developed based on OpenFOAM(R). It has the capability for automatic generation of analysis models, exhibits high convergence, and fixes known bugs in OpenFOAM. Additionally, improvements have been made with consideration for ease of use as a tool. OpenFOAM is a collection of computational codes for physical fields that is trademarked by OpenCFD, a subsidiary of ESI Group. It is released as open-source code under the GPL license, written in C++. Its functionalities range widely from mesh creation to solvers for fluid dynamics, heat transfer, molecular dynamics, electromagnetics, and solid stress analysis, as well as result processing and visualization. CAE simulations can be realized through code development that matches user needs in design processes, physical models, required accuracy, and automation processes. 【Features】 ■ Achieves large-scale calculations at low cost ■ Custom provision at the source level ■ High-precision analysis using LES ■ Rich functionality ■ Application-oriented development *For more details, please download the PDF or feel free to contact us.

• Scientific Calculation and Simulation Software

A thermal design support tool that can be utilized by thermal design engineers of all companies constituting the supply chain of various electronic devices.

"Simcenter Flotherm XT" is a SOLIDWORKS-based thermal fluid analysis tool specifically designed for electronic devices, which allows the use of modeling techniques for thermal design developed through Flotherm on 3D CAD. While featuring seamless integration with 3D CAD, it provides an environment where essential modeling techniques for thermal design, such as semiconductor package modeling and substrate modeling, can be easily applied by mechanical designers. Additionally, as a thermal fluid analysis technology, it has an automatic mesh generation function and analysis capability that flexibly accommodates curved and angled shapes through its unique "Multi-Control Volume" concept using cut cells. 【Features】 ■ SOLIDWORKS-based thermal fluid analysis tool ■ Extensive shape and material property library ■ Component templates specific to electronic devices ■ Utilization of semiconductor package models created with Flotherm PACK ■ Use of substrate CAD data ■ Automatic mesh generation for curved and angled shapes *For more details, please refer to the PDF materials or feel free to contact us.

• Scientific Calculation and Simulation Software
• others

Simulation of battery performance due to heat and aging degradation.

AutoLion is a lithium-ion battery performance simulator developed by the US company EC POWER. It allows you to efficiently predict the characteristics of lithium-ion batteries, such as discharge rate characteristics, discharge temperature characteristics, and current-voltage characteristics, using your personal computer. ○AutoLion-1D A standalone application that provides a virtual battery laboratory and includes all the necessary functions to build a one-dimensional simulator. ○AutoLion-ST An S-function for Simulink used in software-in-the-loop modeling and system design. ○AutoLion-3D A powerful three-dimensional modeling tool that integrates with commercial CFD applications for thermal management and safety predictions.

• Scientific Calculation and Simulation Software

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step Towards In-House DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize items currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Is the performance report you are currently creating, which takes a tremendous amount of time and effort, appreciated by the management? Are you facing complaints from management such as: - The reports are coming out late (results from the previous month are reported around the 20th of the current month) - The reports are difficult to understand and hard to read - There is missing necessary information In this seminar, we will introduce a new system for managing performance information that addresses these issues, along with specific methods. The cost is free. We encourage you to participate. □ Seminar Content 1. What is performance improvement? 2. What information is useful for performance improvement? 3. How to view performance information 4. A system for automatically generating performance information and accessing necessary information when needed (Using our company's developed performance information management tool as a model)

Holding a management strategy seminar to "embed" generative AI and connect it to organizational outcomes! Are you facing challenges such as "not knowing how to use it," "lack of progress in utilization," or "not being embedded due to organizational rules and management" while advancing AI implementation? In this seminar, we will thoroughly explain the secrets to realizing an organization where AI operates autonomously, drawing from the generative AI training of Panhouse Co., Ltd. and the management methods of Shikigaku Co., Ltd. In particular, we will share specific case studies of the "Agent Model AI," which is gaining attention as a next-generation AI application, along with organizational design know-how for integrating generative AI into business, management pitfalls that hinder embedding, and their solutions, all accompanied by concrete examples. What you can learn in this seminar: - Experiences and case studies of Agent Model AI (exabase generative AI demo) - Initial preparations and design know-how to accelerate AI utilization - Key management points to break down organizational barriers that hinder AI embedding If you are in management or responsible for ensuring that generative AI becomes a "truly usable" system rather than just "trying it out," we encourage you to participate in this opportunity.

We are pleased to announce that Pan House Co., Ltd. will be participating in the online marketing conference "Data Driven Marketing 2026," which will be held from January 14 (Wednesday) to 16 (Friday), 2026. At this event, where professionals achieving results at the forefront will gather, our Chief Integration Officer, Tsubasa Kimura, will explain the new organizational approaches utilizing AI. Organizational Theory for "Maximum Effect with Minimal Effort" in the AI Era As AI technology rapidly evolves and the marketing environment changes significantly due to cookie regulations, relying on "past success experiences" and "intuition and experience" is reaching its limits. In this session, we will focus on how to utilize AI not just as a tool, but as a strategic infrastructure to build competitive advantages for organizations. We will discuss specific examples and methods on how to maximize the efficiency of marketing operations and establish an organizational structure that leads to results with minimal effort.

"Where should we start with AI implementation, and how can we expand it company-wide?" The reason for the slow progress in AI implementation is not the tools themselves. The key lies in project design that encompasses everything from creating guidelines to establishing a promotion system and turning success stories into models. In this webinar, we will systematically explain the types of AI implementation projects that successful companies practice to overcome the "zero-to-one barrier" and the "utilization promotion barrier." Both companies that have not yet implemented AI and those that are stagnating in their utilization will gain clarity on their respective starting points and take home actionable "answers at the action level" that can be executed starting tomorrow in just 60 minutes. Recommended for those facing the following challenges: This webinar is ideal for individuals in departments at the level of section chief or higher who want to promote AI implementation as a project. Companies that do not know how to "start" AI implementation (zero-to-one stage) Companies that have implemented generative AI but are experiencing stagnation in its utilization Companies lacking a driving force or where the initiative is not moving forward, struggling with individualization and the lack of established training Companies that are looking to expand company-wide but are unclear on how to horizontally deploy Companies considering the introduction of AI training (especially in the pre-approval stage)