Extrusion

Machine learning (ML) is revolutionizing quality control in manufacturing, enabling faster, smarter, and more efficient processes. By addressing the limitations of traditional methods, ML enhances defect detection, waste reduction, and overall reliability.

Borg-Warner Corporation introduced Acrylonitrile Butadiene Styrene (ABS), an amorphous engineering thermoplastic, to the market in 1954. Since then, ABS has become essential across industries for its unique blend of properties. Today, manufacturers produce over 6,000 grades, ensuring its adaptability to diverse applications.

Researchers have developed two innovative tung oil-based liquid auxiliary heat stabilizers, Ph-T and Ph-TO, to address critical challenges in polyvinyl chloride (PVC) processing.

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.

Sustainability or design for the environment was almost always considered at the end of the design process. This can no longer be the case; sustainability is no longer about the environment. It is the environment. 

Plastic modification involves selecting the right additives to enhance the polymer’s properties, such as mechanical strength, surface quality, or processability.

Polyvinyl Chloride (PVC) drives innovation across industries due to its properties like exceptional cost-performance ratio, versatility, and sustainability.

Plastic extrusion is vital in manufacturing a wide array of plastic products. Therefore, choosing the right extrusion partner is crucial for ensuring your project’s success. It can significantly impact both the quality and efficiency of production.

Selecting the right polypropylene grade for your project is crucial to ensuring optimal performance.

Companies like Polymer Resources Ltd. lead pioneering technologies that address industry challenges and set new thermoplastic benchmarks.