Automation

Find ways to boost production, meet environmental regulations, and cut costs using data-driven tech solutions.

Reverse engineering (RE) in plastics processing has become an essential method for product reproduction, improvement, and optimization. It involves a thorough understanding of the design, manufacturing, assembly, and maintenance stages.

By leveraging the capabilities of Dielectric Analysis (DEA), manufacturers can achieve higher standards of quality and performance, leading to better products and increased market competitiveness.

As injection molders face increasing demands to improve throughput, part quality, and aesthetics, Industry 4.0’s data-driven approach will continue to reshape the molding landscape for the next  years.

Plastics have evolved beyond their ubiquitous presence in everyday products to become intelligent. The fusion of the Internet of Things (IoT) and Artificial Intelligence (AI) is launching the era of “smart plastics.” These materials aim to revolutionize the functionality and efficiency of plastics in healthcare, automotive, and consumer products.

The future of the plastics industry emerges as a focal point, in a world inundated with crisis reports and the relentless hustle of daily life. Hence, it’s crucial to take a step back and examine the industry through different lenses.

The IKV Colloquium demonstrated the plastics industry’s resilience in addressing current challenges. On February 28th-29th, 2024, RWTH Aachen University’s IKV organized an event fostering industry-academia exchanges.

In the extensive world of materials science and industrial processes, selecting the right rheometer for our specific applications often feels like navigating a complex puzzle. Each piece must fit precisely to unlock the full potential of material characterization,  R&D, and process optimization.

IKV has consistently pushed the boundaries of knowledge, fostered interdisciplinary collaboration, and driven progress in the dynamic field of plastics.

Altair Engineering is leveraging artificial intelligence (AI) and digital twin technology to speed product design simulations.