Modelling of process parameters on the working of P/M copper preforms

Metal matrix composites are widely used in components of various components of industrial equipment because of their superior material properties like high stiffness to weight ratio and high impact strength and fracture toughness while compared to the conventional material. Due to the concepts of high strength to low weight ratio, Al 7075 was extensively applied in aircraft engine and wings. Even if Al 7075 has higher hardness, higher strength, excellent wear resistance, and high-temperature corrosion protection, it is in need of further enhancement of properties for increasing its applicability. This paper presents the mechanical behavior of aluminium 7075 reinforced with Silicon Carbide (SiC) and Titanium Carbide (TiC) through powder metallurgy route. These specimens were produced by powder metallurgy method. The hybrid composite was made by Al 7075 alloy as the matrix with Silicon Carbide and Titanium Carbide as reinforcement. Silicon Carbide and Titanium Carbide are mixed in different weight ratio based on the design matrix formulated through a statistical tool, namely, Response Surface Methodology (RSM). Enhanced mechanical properties have been obtained with 90% of Al 7075, 4% of TiC, and 8% of SiC composition in the composite. Coefficient of friction appears to be more which has been determined by ring compression test.

show abstract

“…Hence in this work, coefficient of friction was calculated by adopting ring compression test [10]. Coefficient of friction is determined by A.G.…”

Section: Ring Compression Testmentioning

confidence: 99%

On the Mechanical Properties of Hybrid Aluminium 7075 Matrix Composite Material Reinforced with SiC and TiC Produced by Powder Metallurgy Method

Devaneyan

Ganesh²,

Senthilvelan

2017

Indian Journal of Materials Science

View full text Add to dashboard Cite

show abstract

“…[13][14][15][16][17] Meanwhile, PM process is not an exception to this rule and some research is conducted on this process using mathematical and statistical approaches. [18][19][20][21] In the traditional methods, very time-consuming and expensive milling methods are used for producing the grey cast iron powder from the scraps. Moreover, in many cases, the green properties of the produced compacts are not suitable for industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Investigation of green properties of iron/jet-milled grey cast iron compacts by response surface method

Abdollahi

Mahdavinejad

Ghambari

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Grey cast iron powder was produced from grey cast iron scraps by jet milling method and mixed with commercial pure iron powder. The morphology of the produced powders and characteristics of the powder mixtures were investigated. The mathematical models were successfully developed to predict green properties of iron/jet-milled grey cast iron compacts using response surface methodology. Using response surface methodology, the effects of the percentage of jetmilled cast iron powder and compaction pressure on green density, green strength, and hardness of the green compacts were analyzed and the optimal combinations of the input process parameters were obtained to maximize the responses. The main and interaction effects of the input process parameters and also the validity of the models were evaluated by using analysis of variance method. Scanning electron microscopy micrographs of the powders and the fracture surfaces were provided to discuss the obtained responses. The results indicated that in addition to fast production rate and economical considerations, the iron/jet-milled grey cast iron powder compacts have adequate green properties for most of the different combinations of the input process parameters.

show abstract

“…Tiernan et al [14] described the application of the surface response method to model the extrusion force. Senthilvelan et al [15] developed mathematical models for P/M working process using regression analysis and the models could be used to predict the strength coefficient and strain hardening exponent of P/M copper performs. Qamar et al [16] proposed linear and quadratic models for determination of fracture toughness.…”

Section: Introductionmentioning

confidence: 99%

Modeling of springback on air bending process of interstitial free steel sheet using multiple regression analysis

Narayanasamy

Padmanabhan

2009

Int J Interact Des Manuf

View full text Add to dashboard Cite

This paper describes the development of regression based mathematical models for the prediction of springback in air bending process of interstitial free (IF) steel sheet. Punch travel (d), strain hardening exponent (n), punch radius (r p ), punch velocity (v p ) and width of the sheet (w) have been considered as input parameters and springback as output parameter to develop the model. Based on experimental results, various regression models namely, linear, linear-square, linear-interaction and quadratic terms for the springback prediction were developed for IF steel sheets. It is found that, the results obtained from the quadratic model are accurate in prediction of springback than others.

show abstract

Modelling of process parameters on the working of P/M copper preforms

Cited by 10 publications

References 11 publications

On the Mechanical Properties of Hybrid Aluminium 7075 Matrix Composite Material Reinforced with SiC and TiC Produced by Powder Metallurgy Method

On the Mechanical Properties of Hybrid Aluminium 7075 Matrix Composite Material Reinforced with SiC and TiC Produced by Powder Metallurgy Method

Investigation of green properties of iron/jet-milled grey cast iron compacts by response surface method

Modeling of springback on air bending process of interstitial free steel sheet using multiple regression analysis

Contact Info

Product

Resources

About