We will be exhibiting at Smart Engineering Tokyo 2016.

For process development, optimal plant design, and operational optimization studies! Simulators for the oil, gas, and chemical industries.

In plant design, equipment sizing, process consideration, and operational optimization, PSE believes that existing process simulators still have room for improvement in terms of convergence for obtaining numerical solutions, constraints of processes they can handle, and customization of process models (model extensibility). The process simulation software developed to meet the needs for more advanced and value-added process plant design and optimization is 'gPROMS Process'. 【Features】 * Libraries for specific applications * Creation of flow sheets using Drag & Drop * High-precision custom model creation and editing functions using gPROMS language * Changes in settings within the same environment from steady-state simulation models to dynamic simulation models * Powerful optimization solution search and analysis functions * Global System Analysis (GSA) * High-Performance Computing (HPC) ★ You can view two "case study materials" available for download. These include examples of achieving high-value product offerings and cost reduction through batch process optimization, as well as successful cases of cost reduction through the optimization of entire plants.

• simulator

This is a simulation model of a fixed bed catalytic reactor. It can be used for estimating reaction parameters, estimating catalyst life, cooling design, and operational optimization studies.

Fixed bed catalytic reactors are used for the production of various chemical raw materials, and their applications are wide-ranging. AML:FBCR is characterized by being a basic tool for the automatic estimation of reaction parameters for catalyst pellets in laboratory experiments, which can be scaled up for pilot or actual equipment studies. It is used as a model library on the simulation platform gPROMS ProcessBuilder. Furthermore, it allows for the representation of various units, including reactors, as a single process on one flow sheet, enabling the optimization of the entire plant. By using parameters adjusted based on experimental data in a precise kinetic model expressed by multiple equations and chemical reaction equations, the fundamental idea is to accurately predict the behavior of actual equipment with high model accuracy. Additionally, parameter estimation is also possible in the actual equipment model, expanding its applications such as estimating catalyst degradation.

• simulator

Automate the estimation of parameters such as reaction rates by freely inputting various mathematical model equations for chemical processes and comparing them with experimental results, making it possible to utilize for process optimization.

gPROMS ModelBuilder is a simulation platform software for supporting research and development, as well as equipment and plant design, which includes: - Process simulation (steady-state, dynamic) - Model validation (model parameter estimation) - Exploration of optimal experimental methods (design of experiments) - Optimization of operating methods and designs (static, dynamic optimization) - Plant automation (advanced control design and tuning) - Operator training (training simulator) It can be used for a variety of development support, analysis, and optimization considerations. By defining constants, variables, and equations using gPROMS Language and providing input values, model calculations can easily converge using the Initialization Procedure technology developed by PSE. After the initial calculation, it is possible to quickly recalculate by providing the automatically saved initial values.

• simulator
• Other analyses
• Analysis Services

For increasing production volume, optimizing operations, scale-up design, cost reduction, energy saving, etc.!

<gPROMS FormulatedProducts Crystallization Process Library> It can be used for various considerations and decision-making in production volume enhancement, operational improvement, and process optimization. To build efficient procedures (recipes) in the crystallization process, we will efficiently carry out operations in the following flow and achieve these within a short period (approximately 1 to 2 months). Modeling → Experiment → Model Verification (Parameter Estimation, Validation) → Process Optimization Consideration → Scale-Up Consideration The ability to automatically perform parameter estimation with the tool is a significant factor in reducing the consideration period. Additionally, since it is a kinetic model (expressing mechanisms in mathematical formulas), the number of parameters is kept to a necessary minimum. Furthermore, tools that automatically optimize cooling temperature reduction methods and patterns, the amount and timing of seed crystals, evaporation rates, and heating patterns are powerful, and scale-up may be conducted in conjunction with CFD (Computational Fluid Dynamics) simulations when necessary.

• Contract Analysis

For shortening development time and costs! Simulation software

The software package "gFUELCELL," based on our general-purpose mathematical modeling CAE software "gPROMS," is specialized for performance analysis and design optimization of fuel cells. In response to the demands of more customers, we have enhanced the functionality of the model library and revamped the user interface from the conventional AML:FC (Advanced Model Library for Fuel Cells). ■ Capable of building cell models that reflect experimental data ■ Precise handling of condensate in PEMFC ■ Analysis of dynamic behavior and performance of fuel cell systems considering degradation analysis ■ Risk management ■ Reduction of development costs for fuel cell development ■ Shortening of development time

• simulator
• Other analyses
• Analysis Services

Hexacore Inc. will exhibit at "Data Center Japan 2026," which will be held at the Tokyo Metropolitan Industrial Trade Center Hamamatsucho from March 24 to March 25, 2026. At the Hexacore booth, we will introduce various distribution boards, as well as measurement and monitoring systems and implementation support services. 【Main Exhibited Products and Services】 - IEC Distribution Boards / Aluminum Transformer Equipped Distribution Boards (Panel Display) We will showcase IEC-compliant distribution boards (PDP) for data centers. Additionally, we will display aluminum transformer equipped distribution boards. - Remote Monitoring System Implementation Support Service for Data Centers (Panel Display) We will provide support tailored to customer requirements, from consideration of monitoring system implementation to on-site construction and startup. - PAL-Plus / PAL-Plus Large Capacity Version An IoT sensor with built-in communication functionality that allows for easy and space-saving measurement of alternating current (60A, 125A to 630A). - CEW-M4 A management software that visualizes equipment status such as current, power, energy consumption, temperature, and humidity, enabling efficient management of power usage and remaining power capacity of distribution boards. We sincerely look forward to your visit.

[Speaker] Kei Konagai, Senior Manager, Strategy& at PwC Consulting LLC [Key Lecture Content] The use of generative AI is rapidly expanding among manufacturing companies. However, many companies fall into the trap of being unable to produce results after simply "implementing it for now." A survey conducted by Strategy& involving 247 European manufacturing companies revealed that while the effects of back-office utilization are limited, the introduction of generative AI into core operations such as R&D and sales is the key to improving profitability. In Japanese companies as well, those aiming for structural transformation tend to achieve results that exceed expectations compared to those that only focus on streamlining peripheral operations. However, currently, it is not common to consider results indicators such as sales and gross profit margin in conjunction with these efforts. In this lecture, we will elaborate on a generative AI utilization strategy aimed at maximizing revenue impact from three perspectives: "strengthening upstream (design and development)," "streamlining downstream (after-sales service)," and "building a promotion system."

In this seminar, we will introduce "Platio Connect," which allows you to easily create mobile applications and achieve data integration with internal systems and automation of data utilization tasks without coding. We will also share demonstrations and case studies of companies that have successfully improved their operational efficiency. If you want to effectively utilize on-site data as internal assets, or if you want to leverage internal data on-site, or if you are interested in promoting DX (digital transformation) in the field, please join us.

We would like to provide information about the annual schedule for the event planned for 2026. This year, we are planning a wide range of activities, including: - Technical training sessions to deepen understanding of analytical techniques - Open house events where you can see the equipment in person - Seminars and workshops categorized by field and theme These will be held online and in various locations. Details about the start of registration and the programs for each event will be provided as the event dates approach. Please note that the schedule may be subject to change, so we appreciate your understanding in advance. Our staff is looking forward to the opportunity to meet with all of you this year. Thank you for your continued support of FOSS Japan.

We will be exhibiting at the "43rd Air Purification and Contamination Control Research Conference" from April 21 (Tuesday) to April 22 (Wednesday), 2026. Planned exhibit models: 6000, 9000, 8506-30, MMS (Multi-Sensor Control Software) We will be showcasing the new model 6000 and MMS (Multi-Sensor Control Software).