Biotechnological Application of Biochip Recognition Technology for Advanced Mechanical and Wear Analysis in Mining Operations

Abstract

This study explores the application of biochip recognition technology to analyze the mechanical interaction and wear characteristics of pick-type truncated teeth used in mining operations. By employing advanced biotechnological methods, including Nano pore sequencing, the research converts the adsorption-induced deformation or vibration signals of the pick-type teeth into mechanical vibration data. These signals are then analyzed to understand the effects of variables such as pH value and ionic strength on the deformation and mechanical properties of the teeth during their interaction with coal rock. A comprehensive mechanical model was developed to investigate the impact of tooth wear and cutting forces on the performance of the pick-type teeth, with measurements conducted using a biochip recognition detector. The results indicate that for a jet diameter of 0.5 mm, the impact force remains relatively stable, ranging between 30 to 50 MPa, with minimal variation. However, when the jet diameter increases to 1.0 mm, the impact force varies significantly with velocity, showing differences of approximately 50 MPa. This study provides critical insights into the wear mechanisms of pick teeth in mining equipment under actual underground working conditions. The integration of biochip technology offers a novel approach to enhancing the durability and efficiency of mining tools, demonstrating both theoretical significance and practical value. This research aligns with the scope of the Journal of Commercial Biotechnology by showcasing the application of biotechnological innovations in industrial processes, particularly in improving the performance and reliability of critical mining equipment.