N. Ganesh¹, R. K. Ghadai², A. K. Bhoi³, K. Kalita^4,*, Xiao-Zhi Gao⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 459-476, 2020, DOI:10.32604/cmes.2020.09645

Abstract Electrical Discharge Machining (EDM) is a popular non-traditional machining process that is widely used due to its ability to machine hard and brittle materials. It does not require a cutting tool and can machine complex geometries easily. However, it suffers from drawbacks like a poor rate of machining and excessive tool wear. In this research, an attempt is made to address these issues by using an intelligent predictive model coupled global optimization approach to predict suitable combinations of input parameters (current, pulse on-time and pulse off-time) that would effectively increase the material removal rate and minimize the tool wear. The… More >

Yang Wei^*, Kunpeng Zhao, Chen Hang, Si Chen, Mingmin Ding

Journal of Renewable Materials, Vol.8, No.3, pp. 251-273, 2020, DOI:10.32604/jrm.2020.08779

Abstract The creep behavior of bamboo due to the complicated influences of environment and stress will lead to a sustained increase in deformation, which serious effects the service performance of structures. To investigate the creep behavior of recombinant bamboo, twenty-four recombinant bamboo specimens were tested under lasting compressive and tensile loads at different load levels. The typical failure modes of recombinant bamboo under a lasting load at a high load level were buckling failure and brittle fracturing due to creep compressive creep and tensile creep development, respectively. At a high load level, the creep deformation of recombinant bamboo initially develops unsteadily… More >