The surface roughness of extrusion tools plays a crucial role in determining the efficiency and quality of cold work extrusion processes. This study investigates the effects of tool surface roughness on various dynamics of cold work extrusion, focusing on parameters such as material flow, surface finish of the extruded product, and tool wear. Through a series of controlled experiments, different surface roughness levels were applied to extrusion tools, and their impact on extrusion performance was analyzed. Key metrics, including extrusion force, product dimensional accuracy, and surface finish, were measured and compared across varying roughness conditions. The study also examines the relationship between surface roughness and tool wear rates, providing insights into the long-term implications of surface texture on tool life and maintenance. The results reveal that tool surface roughness significantly influences extrusion dynamics. Smoother tool surfaces generally resulted in improved material flow, better surface quality of the extrudate, and reduced extrusion forces. Conversely, increased surface roughness led to higher friction, greater force requirements, and decreased surface quality. Additionally, tools with rougher surfaces exhibited accelerated wear, affecting their longevity and performance. This research provides valuable insights into optimizing tool surface finish to enhance the efficiency and quality of cold work extrusion processes. The findings highlight the importance of tool surface preparation and maintenance in achieving desired extrudate properties and extending tool life.

The results of the study of vein quartz from the Tulakul deposit, which are a potential source of high-purity quartz raw materials, are presented. A brief description of the most promising deposits of vein quartz is given. Thermal studies of vein quartz of the Tulakul birthplace have been carried out. Stability temperatures and phase transition temperatures are established.

In the evolving landscape of organizational operations, effective workflow management is crucial for optimizing productivity and ensuring seamless processes. This paper presents an "Integrated Framework for Workflow Management Systems" designed to address the complexities of modern workflows. The proposed framework integrates best practices from systems engineering, process optimization, and technology management to create a comprehensive approach for designing and implementing workflow systems. The framework is structured around key components: process modeling, automation, performance monitoring, and adaptability. It emphasizes the need for a cohesive strategy that aligns workflow management with organizational goals, leverages automation to reduce manual intervention, and incorporates continuous feedback for iterative improvements. Through case studies and practical applications, the framework demonstrates its potential to enhance efficiency, reduce operational costs, and support scalable growth.