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Explore the digital transformation of transportation, from EVs to smart manufacturing

Key steps are virtual twins and real relationships.

Sandvik Coromant’s Package Selector Application analyzes a 3D CAD model of a product and recommends the smallest packaging possible using an AI algorithm that calculates the product’s rotation.

The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.

Light vehicles will be so different by 2035, experts aren’t even sure we’ll still call them “cars.” Perhaps “personal mobility devices.” More important will be the radical changes to the manufacturing of automotive parts.

Digitization and data dominated the discussion as EASTEC returned to West Springfield, Mass., after its 2020 pandemic hiatus.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

The global automotive ceramics market is shifting into high gear, on track to reach $3.5 billion by 2028. Discover the driving forces behind this growth, including a thriving automotive industry and the rising demand for electric vehicles, and see how innovation is steering this market into the future.

This year’s RAPID + TCT show signaled a new wave of users, with 35 percent of the audience being new to adopting additive manufacturing technologies.

Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.