Longevity of Cutting Tools? Invitation to the Web Seminar on Circuit Board Manufacturing Equipment

Improvement of productivity through parallel setup in the printed circuit board division process, also accommodating inline production processes!

By being able to prepare the next workpiece in parallel during substrate processing, we can eliminate waiting time during substrate exchanges. Additionally, by shortening the cycle time, productivity can be improved without increasing the number of operators. The entire process of supplying printed circuit boards, cutting the substrates, and palletizing the cut substrates onto discharge trays can also be automated. (Substrate cutting machine + robot transport system) 【Features】 ■ Equipped with a dual-table automatic turn system that allows for parallel setup ■ Adaptable to general inline specifications through the use of robots ■ Reduction of cutting time through Z-axis height settings for each router location ■ Improved operating rate by monitoring the usage distance of bits and automatically replacing them ■ Built-in dust collector for compact device size *For more details, please download the PDF or contact us. ★ For those interested in the single type, click here▽ https://mono.ipros.com/product/detail/2000569194 ★ Free seminar here▽ http://www.mtco-web.co.jp/products/web_seminar.html

• Printed Circuit Board
• Other processing machines
• Circuit board processing machine

Standalone type with high rigidity and quality, equipped with e-F@ctory utilization error prevention features, automatic router bit exchange, and image teaching capabilities.

The "MR2535H2" is a device that divides multiple small and complex-shaped circuit boards using a router method. It can cut printed circuit boards with low stress, thereby reducing the risk of damage to mounted components (such as multilayer ceramic capacitors) caused by stress in traditional hand-breaking or pressing methods. By utilizing automation and IT technologies cultivated at Mitsubishi Electric's Nagoya Works for equipment design and manufacturing, it supports improvements in factory productivity and quality. 【Features】 ■ Cuts unnecessary parts of complex-shaped printed circuit boards after mounting using a router bit ■ Improves setup efficiency by widening the opening width of the device's access door ■ Achieves space-saving by incorporating a dust collector within the device's lower section ■ Significantly enhances productivity by increasing the movement speed of the X-Y axis (three times faster than our conventional models) ■ Allows for setting the Z-axis position for each cutting point, enabling shorter takt times ■ Supports image teaching functions for setting cutting points on various types of circuit boards *For more details, please download the PDF or contact us.

• Circuit board processing machine

Inline model that automates the printed circuit board cutting process.

Automatically cuts various printed circuit boards in-line on the manufacturing line. It eliminates the need to always have an operator at the board cutting machine, achieving labor savings. 【Features】 ■ Monitors the usage distance of the bit and automatically replaces it to improve operational efficiency. ■ Waste boards are automatically collected into a waste board box located at the bottom of the device. ■ Selecting a twin spindle enables simultaneous cutting, achieving high productivity. *For more details, please download the PDF or contact us.

• Printed Circuit Board
• Other processing machines
• Circuit board processing machine

High-quality fine printing is possible! Laser marking device for substrates compatible with a wide range of materials.

The substrate marking device is a laser-based substrate marking machine capable of directly marking serial numbers, origin, and two-dimensional codes or characters for process management using a laser marker. In addition to being equipped with a variety of functions, it also offers a range of options that enable integration with traceability systems. 【Features】 ■ High-speed marking of fine characters, 2D codes, and shapes at any position on printed circuit boards ■ More stable print quality compared to stamping methods ■ In the case of fiber lasers, it can accommodate a variety of materials such as metals and ceramics, allowing for higher precision printing compared to CO2 lasers ■ Creation of flexible printing programs in parallel with production at a workstation away from the PCB manufacturing line using Excel * Fiber lasers do not require permission applications as they are not subject to high-frequency utilization equipment regulations, making them easier to implement compared to conventional machines. * Microsoft and Excel are registered trademarks or trademarks of Microsoft Corporation in the United States and other countries. * For more details, please download the PDF or contact us.

• Marking machine
• Laser marker
• Other markings

About ROAD: The "Roundtable on the Purpose of Autonomous Driving (ROAD)" conference series has evolved into a unique platform for interdis-ciplinary dialogue and international collaboration in the field of autonomous driving and autonomous mobility. Established in 2016, ROAD has brought together researchers, industry leaders, and public sector stakeholders from six countries across three continents. Based on this background, the upcoming ROAD 2026 will focus on "safety” and "driving AI”—the final pieces of the autonomous driving puzzle—to advance discussions on establishing the foundational framework for ensuring safety quality and obtaining regular-tory approval for autonomous driving. We also intend to discuss the international commonalities and differences regarding the social value brought about by ADS vehicles in terms of automation, intelligent driving, and mobility. We have established a total of five compelling themes for the Round Workshops, consisting of two topics related to “The Last Piece” and three topics related to the social value of ADS, as shown below. 1) Round Workshop 1 - Horizons of E2E Driving AI → Can AI Understand the Driving Environment Like Humans? 2) Round Workshop 2 - Beyond the Unknown: Safety Cases for ADS → Can Safety Ever Be Proven? 3) Round Workshop 3 - Envisioning Smart City Mobility → Can Smart City Mobility Bridge the Mobility Divide? 4) Round Workshop 4 - Logistics Enhancement Through Autonomous Tracking → Will Logistics Become Human-Free? 5) Round Workshop 5 - The Evolution of CASE: SDV/AIDV → Will Automakers Become AI Companies? We hope you’ll all join us!

[Speaker] Masashi Sugita, President and CEO of LEX Style Co., Ltd. [Key Lecture Content] The power consumption of AI servers used in data centers has significantly increased, making traditional air cooling insufficient for operation. This lecture will organize the requirements for introducing a liquid cooling system into air-cooled data centers and explain the implementation method using free cooling with specific design details. When handling high-density AI servers, energy efficiency is required, and the widely used energy efficiency indicator, as well as the Ministry of Economy, Trade and Industry's Resource and Energy Agency's PUE regulation of "1.3 or below," will be explained along with practical operational insights. [Lecture Items] 1. Heat dissipation methods for high-density, high-heat AI servers 2. Basics and importance of PUE/pPUE 3. PUE regulation of "1.3 or below" by the Ministry of Economy, Trade and Industry's Resource and Energy Agency 4. AI server implementation and requirements for new data centers 5. Summary and future outlook 6. Q&A / Business card exchange

[Key Lecture Content] 1. Promotion of SAF Introduction Yasushi Yamashita, Director, Carbon Neutral Promotion Office, Aviation Bureau, Ministry of Land, Infrastructure, Transport and Tourism 1. Importance of SAF in the decarbonization of the aviation sector 2. Initiatives to promote the introduction of SAF 3. Q&A / Business card exchange 2. Japan Airlines' Challenge Towards Net Zero CO2 Emissions by 2050 Kazuki Hirotani, Group Leader, GX Planning Group, Sustainability Promotion Department, Japan Airlines Co., Ltd. 1. Introduction of our five initiatives for CO2 emission reduction 2. Initiatives for reducing fuel consumption (introduction of fuel-efficient aircraft, operational improvements) 3. Initiatives for fuel transition (sustainable aviation fuel SAF) 4. Initiatives for reductions outside the value chain (carbon credits, new removal technologies) 5. Initiatives to deepen collaboration with society 6. Q&A / Business card exchange

[Instructor] Yuichiro Kabushiki, Partner Lawyer at TMI Comprehensive Law Office [Key Lecture Content] With the spread of AI, there is growing attention on the civil liability of developers, providers, and users of AI. The Ministry of Economy, Trade and Industry will publish "Guidelines on the Interpretation and Application of Civil Liability in AI Utilization" in April 2026, and the Ministry of Justice will also establish an expert meeting to examine civil liability related to unauthorized use of images and voices generated by AI in the same month. As the full enforcement of the AI Promotion Act and the revision of AI guidelines are underway, it is necessary to design and operate governance based on the potential responsibilities that may arise retrospectively. In this seminar, based on the guidelines from the Ministry of Economy, Trade and Industry and drawing on litigation practice experience as a judge and lawyer, we will organize the basic framework for assessing civil liability and explain fundamental methods for designing and operating governance based on risk analysis. Furthermore, we will examine the framework for civil liability and the design and operation of governance using hypothetical cases that are likely to pose practical issues.

In this seminar, we will welcome Mr. Satoru Hayami from Waseda University, who will explain the latest trends in AI utilization in manufacturing, as well as the evolution of technologies such as agent-based AI and physical AI, and the opportunities and key points for practical application in the manufacturing industry. Furthermore, Mr. Tsubasa Shibata, representative of Next Opt, will introduce processes aimed at practical implementation, incorporating actual case studies from manufacturing sites. We hope you will envision the "potential for AI utilization in your company" and take home hints that will lead to improvements in your operations starting tomorrow. We look forward to your participation.