scholarly journals The Stiffness of Syntactic Metal-Matrix Composites: A Statistical Model

ISRN Ceramics ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-9
Author(s):  
J. D. Botas ◽  
H. Águas
Keyword(s):  
Statistical Model ◽  
Metal Matrix Composites ◽  
Analytical Model ◽  
Metal Matrix ◽  
Hollow Spheres ◽  
Tensile Loading ◽  
Matrix Composites

Stiffness estimates of unloaded isotropic particulates are made by a new analytical model, when reinforcements are either compact or hollow spheres. A statistical extension of this model is described when stiffness predictions involve loading of syntactic composites. A simple experimental routine is also proposed for monitoring the microballoons fracture upon brittle syntactic metal-matrix composites tensile loading.

Analytical Model of Cutting Force in Micromilling of Particle-Reinforced Metal Matrix Composites Considering Interface Failure

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Ben Deng ◽  
Lin Zhou ◽  
Fangyu Peng ◽  
Rong Yan ◽  
Minghui Yang ◽  
...  
Keyword(s):  
Cutting Force ◽  
Metal Matrix Composites ◽  
Analytical Model ◽  
Cutting Forces ◽  
Metal Matrix ◽  
Matrix Composites ◽  
Interface Failure ◽  
Edge Radius ◽  
Proposed Model ◽  
Particle Debonding

During the micromachining processes of particle-reinforced metal matrix composites (PMMCs), matrix-particle interface failure plays an important role in the cutting mechanism. This paper presents a novel analytical model to predict the cutting forces in micromilling of this material considering particle debonding caused by interface failure. The particle debonding is observed not only in the processed surface but also in the chip. A new algorithm is proposed to estimate the particles debonding force caused by interface failure with the aid of Nardin–Schultz model. Then, several aspects of the cutting force generation mechanism are considered in this paper, including particles debonding force in the shear zone and build-up region, particles cracking force in the build-up region, shearing and ploughing forces of metal matrix, and varying sliding friction coefficients due to the reinforced particles in the chip-tool interface. The micro-slot milling experiments are carried out on a self-made three-axis high-precision machine tool, and the comparison between the predicted cutting forces and measured values shows that the proposed model can provide accurate prediction. Finally, the effects of interface failure, reinforced particles, and tool edge radius on cutting forces are investigated by the proposed model and some conclusions are given as follows: the particles debonding force caused by interface failure is significant and takes averagely about 23% of the cutting forces under the given cutting conditions; reinforced particles and edge radius can greatly affect the micromilling process of PMMCs.

scholarly journals Analytical model of workpiece temperature in axial ultrasonic vibration-assisted milling in-situ TiB2/7050Al MMCs

2021 ◽  
Author(s):  
Xiaofen Liu ◽  
Wenhu Wang ◽  
Ruisong Jiang ◽  
Yifeng Xiong ◽  
Kunyang Lin ◽  
...  
Keyword(s):  
Metal Matrix Composites ◽  
Analytical Model ◽  
Ultrasonic Vibration ◽  
Metal Matrix ◽  
Cutting Temperature ◽  
Analytical Models ◽  
Tool Geometry ◽  
Matrix Composites ◽  
Workpiece Temperature

Abstract As a new method developed for machining difficult-to-cut materials, ultrasonic vibration-assisted machining technology has received increasing attention due to its superior properties in reducing cutting temperature in recent years. However, analytical models revealing the mechanism and predicting the cutting temperature for ultrasonic vibration-assisted machining are still needed to be developed. In this paper, an analytical model was established to predict the workpiece temperature for ultrasonic vibration-assisted milling of in-situ TiB2/Al-MMCs. The heat intensity would be directly determined by the cutting force which was significantly influenced by the ultrasonic vibration motion. Meanwhile, the moving heat source theory was applied for calculating dynamic heat flux and partition ratio. Besides, material properties, tool geometry, cutting parameters and vibration parameters were taken into account for workpiece temperature modeling. Finally, the developed analytical temperature model was validated by milling experiments with and without ultrasonic vibration on in-situ TiB2/7050Al metal matrix composites. The relative errors between model prediction results and experiments were smaller than 17%, indicating that the proposed model could provide workpiece temperature prediction reliability and accuracy. Furthermore, the established-analytical model could be used not only in ultrasonic vibration-assisted milling but also in conventional milling for the metal matrix composites.

Sign in / Sign up

Export Citation Format

Share Document