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Reduction of lead time through optimization of press molding dies and BiW assembly processes. Presenting successful examples of digitalization in simulation!

We present a collection of successful case studies on the implementation of AutoForm, highlighting the optimization of processes through the use of AutoForm's assembly solutions, die spotting, time reduction via digital hemming workflows, and the importance of process robustness analysis during the engineering phase. 【Featured Cases】 ■ The Fontana Group in Italy revitalizes BiW assembly methods using AutoForm assembly solutions. ■ The reality of die spotting: A case study from the Italian mold manufacturer CF Franci. ■ Beijing Automotive's digital hemming workflow: Enhancing crash safety for closure parts and reducing on-site trials by two months. ■ Breaking away from conventional thinking with AutoForm: A customer case from a certain company in India. *If you would like to receive the case study collection, please refer to the PDF document or feel free to contact us.

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Nissan Motor Co., Ltd. identifies factors affecting the mass production cracking of panels through molding simulation!!

Nissan Motor Co., Ltd. utilized the robust analysis simulation software "AutoForm-Sigma" to examine the factors affecting mass production cracks in order to reduce the occurrence of panel mass production cracks at its manufacturing plants. By incorporating mass production variations into the simulation, we present a verification case that reproduced the mass production crack location with a probability of 52.9%. *For more details, please refer to the PDF document or feel free to contact us.*

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The digital process twin centered on AutoForm's press die forming analysis has achieved a reduction in development man-hours.

The environment for automobile development is changing more significantly than ever due to societal changes such as electric vehicles and autonomous driving, leading to an increased demand for timely development of products that meet market needs and for reducing labor costs. We will introduce the digital examination method using the digital process twin recommended by AutoForm. [Contents] - Mold estimation and die spotting - Digital estimation and die spotting in AutoForm *For more details, please refer to "Catalog Download."

• Mold Design
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A simulation software that contributes to quality improvement and lead time reduction by optimizing the press molding die process! We present case studies that summarize solutions to challenges!

We will present a collection of successful domestic and international case studies on the implementation of AutoForm, including examples of addressing mass production defects using AutoForm press forming simulation, shortening delivery times and improving quality through the introduction of CAE, and successfully promoting digital twin processes using AutoForm to reduce time and costs. 【Featured Cases】 ■ Response to mass production defects using AutoForm-Sigma at a major Tier 1 parts supplier (domestic case) ■ Gaining trust from clients through shortened delivery times and improved quality with the introduction of AutoForm (domestic case) ■ Reduction of time and costs utilizing digital die spotting (international case) ■ Mindset for successful simulation: A team leader from Renault Group advocates for a 70% reduction in man-hours (international case) ■ Hyundai's NC group successfully reduced man-hours by 50% in trim line deployment through CAE digital engineering (international case) *If you would like a collection of case studies, please refer to the PDF document or feel free to contact us.

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AutoForm press and assembly solutions that deliver actual results in digitalization!

As expectations for productivity improvements through digital means grow, AutoForm is also expanding its solutions from press forming simulation to assembly production, including proposals for digital process twins and robust engineering models (REM). This document will explain the important factors in digital considerations for press parts and assembly at AutoForm, as well as provide specific operational methods. 【Contents】 ■ Definition of prediction accuracy in simulation ■ Robust engineering models (REM) and digital process twins ■ Example of Coulomb friction coefficient and TriboForm model ■ Optimization of assembly processes *For more details, please refer to the PDF document or feel free to contact us.

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Simulation software that contributes to the optimization of the press molding die process! We are offering a collection of success stories summarizing case studies from both domestic and international examples, along with our collaboration with AutoForm!

We are pleased to present the 2022 edition of successful AutoForm implementation case studies, both domestic and international, including examples of initiatives aimed at expanding the use of AutoForm for business process innovation, case studies on reducing man-hours for mold alignment work utilizing CAE, and collaborative project examples with overseas companies applying digital twins and robust engineering models (REM). 【Featured Cases】 ■ Application to ultra-high tensile springback prediction and unexpected cracking prediction during mass production ■ Improvement of prediction accuracy for forming inflow using high-order friction coefficients ■ Achieving overall optimization from process planning to mold manufacturing through the application of AutoForm-ProcessDesigner for CATIA and new prospective flow ■ Reducing assembly man-hours in the finishing process through modeling of "shape relief" using AutoForm ■ A press forming method that keeps the outer panel of Class A aluminum hoods within tolerance during the first mold trial (overseas case) ■ Suppressing springback without corrective adjustments to the hood outer (overseas case) *If you would like a copy of the case study collection, please feel free to contact us or view the PDF materials.

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Efforts to Reduce Greenhouse Gas Emissions - Cost Reduction of $1.8 Million (Approximately 190 Million Yen) through Blank Size Optimization!

The reduction of carbon dioxide emissions in the press forming industry has become a challenge. We will introduce the example of Volkswagen, which has worked on reducing carbon dioxide emissions by minimizing blank sizes and saving materials. [Contents] - Overview of the challenges of reducing CO2 emissions in the press forming industry - Optimized blanks - Comparison and summary of CO2 emissions during primary aluminum production between initial blanks and improved blanks *For more details, please refer to the PDF document or feel free to contact us.

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To customers considering the introduction of vehicle detection sensors for parking lot construction, design, and management: Are you facing any issues with the challenges you currently have or selecting the right sensors for parking lot management? Hotron offers free materials that explain how to utilize vehicle detection sensors and the benefits of their introduction! ▽ Here is the lineup of materials ◉ Basic Guide to Vehicle Detection Sensors This guide focuses on the challenges and solutions in parking lot operations, introducing the overview of vehicle detection sensors. ◉ Key Points for Introducing Vehicle Detection Sensors This material discusses the benefits of introduction based on installation locations and specific challenges. ◉ Case Studies of Vehicle Detection Sensor Implementation This document introduces the challenges before implementation and the results after introduction. For more details, please download from our website and check it out. https://www.hotron.co.jp/download/

● What is a pneumatic regulator? It is a self-developed pneumatic regulator with a control reproducibility of ±0.1%. We offer a wide range of products from low flow to high flow. ● What is a regulator? Please use it to adjust the test pressure for leak testing. By supplying a stable test pressure, it enables more accurate measurements.

Fukuda Co., Ltd. has been pursuing leak detection for 60 years and is committed to advancing the future of leak testing. 【 Supporting Various Leak Tests: Air Leak Test / Gas Leak Test (Hydrogen Gas, Helium Gas) 】 We develop, manufacture, and sell leak testing equipment to inspect airtightness and sealing properties. We will propose the appropriate testers and devices for each inspection target. 【 Target Industries and Examples of Inspection Targets 】 - Automotive Industry: Engines, FC components, valves and piping, various parts - Electronic Components Industry: Smartphones, keyless switches, various small sensors - Pharmaceuticals / Food / Cosmetics Industry: Bottle containers, syringes, vials, eye drop containers, pillow packaging, PTP packaging We will propose the most suitable leak testers for each industry. 【 ISO Certification 】JIS Q 9001:2015 (ISO 9001:2015)

● This is a leak testing device for small electronic components that does not use fluorinated inert liquids (PFAS-free). ● There is no longer a need for unstable visual confirmation through liquid immersion testing. It adopts a quantitative testing method that allows for stable pressure leak testing. ● It is a tabletop leak testing device specifically for gross leaks, with accuracy equal to or greater than that of liquid immersion testing. ● The detectable range is approximately 1×10⁻² Pa·m³/s to 1×10⁻⁶ Pa·m³/s (varies depending on the target product). ● It is suitable for sealed structures ranging from a few millimeters to a maximum of 80 × 70 mm. Please feel free to contact us for more information!

On our company's website introducing vehicle detection sensors, you can easily find products that meet your needs from three categories: "Purpose of Use," "Location of Use," and "Product List." [Introduction to Vehicle Detection Sensors] The sensors detect the passage of vehicles and notify you with a rotating light or switch the display of parking availability. They contribute to safe driving within parking lots and smooth management operations. They are used in various areas, from coin parking to large-scale parking lots. We will continue to improve our webpage to provide information about Hotron's "Vehicle Detection Sensors."