🧬 SinoBioData Academic Portal
🏛️ Indexed Academic JournalOriginal: 中草药

Chinese Traditional and Herbal Drugs

Premier Chinese Biomedical Journal indexed in SinoBioData: Chinese Traditional and Herbal Drugs (中草药).

Total Research Papers: 30
Access: 100% Free Open Access
Browse by Publication Year & VolumeReset All Filters ✕

Published Research PapersFiltered: Year 2025 • 78

Showing 2 of 30 peer-reviewed papers with full Graphical Abstracts.

Original ResearchVol. 78, Issue 3 • pp. 789-802DOI: 10.1007/s12666-024-03345-6

Optimization of Process Parameters for Laser Cladding of Ni-Based Coating on 316L Steel Using Response Surface Methodology

Authors: A. Kumar, S. Singh, R. Kumar

Laser cladding is an advanced surface modification technique used to enhance the wear and corrosion resistance of metallic components. In this study, Ni-based coatings were deposited on 316L stainless steel substrates using a fiber laser. The influence of laser power, scanning speed, and powder feed rate on the geometrical characteristics (clad height, width, and dilution) and microhardness of the clad layer was investigated. Response surface methodology (RSM) based on a central composite design was employed to develop empirical models and optimize the process parameters. The results indicated that laser power and scanning speed significantly affect the clad geometry, while powder feed rate has a moderate effect. The optimized parameters were found to be laser power of 1.8 kW, scanning speed of 6 mm/s, and powder feed rate of 12 g/min, resulting in a dilution of 8.5% and a microhardness of 650 HV. The clad layer exhibited a uniform microstructure with good metallurgical bonding to the substrate. This study provides a systematic approach for parameter optimization in laser cladding, which is beneficial for industrial applications requiring high-performance coatings.

Optimization of Process Parameters for Laser Cladding of Ni-Based Coating on 316L Steel Using Response Surface Methodology
Graphical Abstract
Original ResearchVol. 78, Issue 2 • pp. 450-462DOI: 10.1007/s12666-024-03245-7

Optimization of Mechanical Properties and Microstructure of Friction Stir Welded AA6061-T6 Joints Using Response Surface Methodology

Authors: A. Kumar, R. Singh, S. Sharma

Friction stir welding (FSW) is a solid-state joining process widely used for aluminum alloys. This study investigates the effect of process parameters—tool rotational speed, welding speed, and tool tilt angle—on the mechanical properties and microstructure of AA6061-T6 alloy joints. Response surface methodology (RSM) was employed to design experiments and develop predictive models for tensile strength, hardness, and elongation. The results indicate that rotational speed and welding speed significantly influence the joint properties, while tool tilt angle has a lesser effect. Microstructural analysis revealed that the nugget zone exhibits fine equiaxed grains due to dynamic recrystallization, leading to improved mechanical properties. The optimal parameter combination was found to be 1200 rpm, 80 mm/min, and 2° tilt angle, resulting in a maximum tensile strength of 310 MPa, which is 85% of the base metal strength. The developed models show high accuracy with R² values above 0.95, confirming their reliability for predicting joint properties. This work provides valuable insights for optimizing FSW parameters to achieve high-quality welds in aerospace and automotive applications.

Optimization of Mechanical Properties and Microstructure of Friction Stir Welded AA6061-T6 Joints Using Response Surface Methodology
Graphical Abstract