Optimization of Process Parameters for Tribological Behaviour of AA7075+WC Metal Matrix Composite Using ANOVA

Phaneendra, Y.; Rao, B. Nageswara; Bammidi, R.; Nagesh, Bh.; Kumar, I. N. Niranjan

doi:10.1007/978-981-19-4606-6_73

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…20,21 As WC particles are so stiff, researchers have included a little amount of WC particles into various grades of AA MMCs and identified that 2 to 3 wt.% of WC particle reinforcement was the optimal level of reinforcement for obtaining better mechanical and wear properties. 22,23 Tungsten carbide (WC) is a mixture of tungsten and carbon. It has exceptional hardness, wear-resistance and abrasion-resistance characteristics.…”

Section: Methodsmentioning

confidence: 99%

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Dharmaraj

ARULSELVAN²,

Moshi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

Hybrid metal matrix composites are gaining more importance in recent years. In this current investigation, aluminium alloy (AA7075) composites have been prepared with nano tungsten carbide (WC) and molybdenum disulfide (MoS2) as reinforcements using stir casting method and investigated. The nano tungsten carbide particles were added into the matrix in the proportions 0%, 0.5%, 1%, 1.5% and 2%, and molybdenum disulfide was added in the constant proportion of 5 wt.% to the molten metal. The prepared Al-hybrid composite samples were tested for their hardness, compression and tensile strength. Microstructure examination has also been performed to understand the distribution pattern of nano tungsten carbide and molybdenum disulfide particles in the base matrix by scanning electron microscope. From the results, it was found that there was steady improvement in composite properties when compared with the base metal while adding WC and MoS2. Thus, the prepared AA7075/MoS2/WC composites were guaranteed for high strength, hardness and exceptional microstructure stability. Dry sliding wear behavior on AA7075/MoS2/WC composites was investigated with the aid of pin-on-disc apparatus. Grey Relational Analysis tool was employed to identify the optimal setting of process variables, which results in lower wear rate and COF. The significance of factors such as sliding distance, sliding velocity and load on the wear characteristics was investigated by means of ANOVA. ANOVA results unveiled that load was the majorly influencing factor in attaining optimal wear characteristics. The tested samples have been investigated using scanning electron microscopy and reported.

show abstract

Section: Methodsmentioning

confidence: 99%

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Dharmaraj

ARULSELVAN²,

Moshi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

show abstract

“…The parameters are arranged in order of their significance based on the delta value, which determines the influence of each parameter on the response characteristics. The parameter with the largest delta value is ranked as one, indicating the highest level of influence [41]. For instance, in the case of the response T, the ID factor shows a maximum mean value of 111.67 at Level 3 and a minimum mean value of 83.67 at Level 1, resulting in a delta value of 28, which is ranked as 1.…”

Section: Parameter Optimizationmentioning

confidence: 99%

Design and Optimization of 4D Printed Carbon Fiber Reinforced Poly Lactic Acid Parts Using Fused Deposition Modeling for Shape Memory Applications: A Taguchi Approach

Venkatesh,

Krishna,

Kiran

et al. 2023

MSF

Self Cite

View full text Add to dashboard Cite

The manufacturing industry has witnessed substantial interest in the advancement of 4D printing technology in recent years. This technology has enabled the production of complex structures with enhanced functionality and adaptability. Fused Deposition Modeling (FDM) has become a preferred technique for 4D printing due to its ease of use, affordability, and versatile nature. To achieve efficient and effective 4D printing, the process parameters must be optimised to ensure the desired shape recovery behaviour of the printed parts. The main objective of this study is to optimize the process parameters for the production of 4D printed components using FDM technology and Carbon Fiber reinforced Poly Lactic Acid (CF/PLA) Shape Memory Polymer Composites (SMPCs). This study examines the shape recovery properties of the printed components by modifying the process parameters, including Infill Density (ID), Geometrical Thickness (GT), and Bending Angle (BA), through the implementation of Design of Experiments (DOE) L9 Orthogonal Array (OA). Utilizing Analysis of Variance (ANOVA) to determine the significant factors and their optimum levels, the process parameters are statistically analysed. The results indicate that ID and GT are the statistically significant parameters, and the optimum levels for parameters includes 20% ID, 1.5mm GT, and 300 BA led to faster shape recovery. This study demonstrates the effectiveness of the Taguchi approach in the design and optimization of the process parameters for 4D printed parts using FDM.

show abstract

Enhancement of tribological properties of AA7075 aluminum alloy using nano-silicon carbide reinforcement: A detailed wear analysis and microhardness study

Phaneendra,

Mohan Rao,

Kumar

et al. 2024

Materials Today: Proceedings

View full text Add to dashboard Cite

Optimization of Process Parameters for Tribological Behaviour of AA7075+WC Metal Matrix Composite Using ANOVA

Cited by 3 publications

References 16 publications

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Design and Optimization of 4D Printed Carbon Fiber Reinforced Poly Lactic Acid Parts Using Fused Deposition Modeling for Shape Memory Applications: A Taguchi Approach

Enhancement of tribological properties of AA7075 aluminum alloy using nano-silicon carbide reinforcement: A detailed wear analysis and microhardness study

Contact Info

Product

Resources

About