During compression , particle need undergo preliminary compression, particle rearrangement, the initial structure formation, elastic deformation, plastic deformation and grain crushing, combined with the key form, further compaction and of elasticity after removal the stress /span> series of change, such as granular structure destruction and restructuring to form a new bonding and compressed; By applying the principal stress to the deformation of the powder to yze The volume change of the powder body and the pressure relation,(namely The relationship between primary stress and powder density), the relation between time and yield strength, yield strength and compression height change relations, using the empirical equation method: Heckel, Kawakita, Adams equations /span>the compression theory of Kawakita’s Equation of linear regression equation to yze the new powder particles, research and development of solid products such as predictive ysis tools in drug prescription and process the sensor, Multidigit AD chip to ensure multibit data ysis, automatic mode, m mode and multistage set operating modes coexist;Configuring PC software to obtain the stress and powder density curve;The relationship between the time and the yield strength of the powder; Kawakita’s equation of linear regression equation of constant u, v relation and time flow function relation ysis of process data and curve graph, Establish data models for new products and processes developed by manufacturing enterprises and research institutes.
Food, medicine, powder metallurgy, ceramics, pharmaceutical, chemical industry, construction and other industries which need to be compressed or die-cast powder and granular materials. ysis and research on powder solid forming and compressibility in the development of new products, in pilot plant scale and production, often used in powder enterprise upstream and downstream industries, powder research institutes and colleges, provide reliable data on the strength, compressibility and liquidity of the powder.