in this research, al-ni particle composite strips are formed by accumulative roll bonding (arb) process using al strips and ni powder. the rule of arb cycles and volume percentage (vol%) of ni powder on the microstructure, wear resistance and mechanical properties of the formed composites are investigated. according to the tensile test results, the yield stress and tensile strengths of the al -...

This paper proposes a combination of particle swarm optimization (PSO) and Q-value based safe reinforcement learning scheme for neuro-fuzzy systems (NFS). The proposed Q-value based particle swarm optimization (QPSO) fulfills PSO-based NFS with reinforcement learning; that is, it provides PSO-based NFS an alternative to learn optimal control policies under environments where only weak reinforce...

The densification response of aluminium powder reinforced with nanometric SiC particles (50 nm) during uniaxial compaction was studied. To determine the effect of SiC nanoparticles on the compressibility of the matrix, monolithic Al powder was also examined. The effect of SiC nanoparticles on the densification mechanisms, i.e. particle rearrangement and plastic deformation, was analysed using m...

PhotonicsViewsVolume 18, Issue S1 p. 16-17 Additive ManufacturingFree Access Hard Particle Reinforcement for Micro-forming Tools particle reinforcement of microforming tools via laser melt injection improved wear resistance Anika Langebeck, Corresponding Author [email protected] www.bias.de +49 421 218 58035 BIAS – Bremer Institut für angewandte Strahltechnik GmbH, Klagenfurter Straße 5, 28359 ...

The development of self-propelled particles at the micro- and nanoscale has sparked a huge potential for future applications in active matter physics, microsurgery, targeted drug delivery. However, while latter provoke quest on how to optimally navigate towards target, such as e.g. cancer cell, there is still no simple way known determine optimal route sufficiently complex environments. Here we...

A simple physically-based model for the abrasive wear of composite materials is presented based on the mechanics and mechanisms associated with sliding wear in soft (ductile)matrix composites containing hard (brittle) reinforcement particles. The model is based on the assumption that any portion of the reinforcement that is removed as wear debris cannot contribute to the wear resistance of the ...

using the nanotechnology and decreasing the dimension of reinforcement particles to nanometer, outstanding mechanical properties are achieved in aluminum matrix nanocomposites. fabrication of aluminum matrix nanocomposites by casting is of great importance because of its simplicity, low cost and ease of the control of matrix microstructure. in this study, the aging behavior of nanocomposite sam...

This article introduces a model-based reinforcement learning (RL) approach for continuous state and action spaces. While most RL methods try to find closed-form policies, the approach taken here employs numerical on-line optimization of control action sequences. First, a general method for reformulating RL problems as optimization tasks is provided. Subsequently, Particle Swarm Optimization (PS...

A novel class of fully organic composite materials with well-balanced mechanical properties and improved thermal stability was developed by incorporating highly crystalline, hydrothermally synthesized polyimide microparticles into an epoxy matrix.