The energy expense of slurry transportation through the pipeline plays a vital role in the economics of various modern industries, such as mining, crude oil, petroleum, and mineral processing. Therefore, it is essential to develop a suitable condition by which we can efficiently transport slurry without affecting the environment and capital costs. To solve these problems, a steady state three-dimensional multiphase Eulerian RNG k–ε turbulence model based on the kinetic theory of granular flow is developed to investigate transportation parameters like pressure distribution, concentration distribution, head loss, settling velocity, and specific energy consumption. Four different particles named bottom ash, glass beads, iron ore, and silica sand with five different sizes, 125, 200, 275, 350, and 440 μm are transported through 3.8 m long straight pipe having 54 mm pipe diameter. The trends of various transportation properties with varying flow velocity (Vm = 1–5 m/s) and efflux concentration (Cw = 40%–60%) are presented. The numerically obtained results for different slurries and water are in good agreement with the past experimental data available in the literature. The computational finding shows that the transportation of bottom ash requires minimum energy, whereas silica sand needs the maximum. In addition, the degree of deviation into transportation properties increases with the particle size, efflux concentration, and flow velocity.

In the present paper, a three-dimensional finite element model of the Charnley implant has been developed to analyze the stress–strain distribution and deformation over the stem prosthesis. Patient-specific dynamic forces have been considered for the analytical evaluation using commercial finite element code. The impact of each dynamic activity has been analyzed separately using six different biocompatible alloy materials made of titanium and cobalt-chromium. Mechanical parameters have been evaluated to envisage the longevity and functionality of the implant. The performance of different materials for each suitable gait pattern is analyzed using finite element code. Consequently, Cobalt chromium alloys (CoCrMo alloy) demonstrate better results, i.e., maximum stress, minimum deformation, and strain as compared with other materials. Every dynamic motion, viz., walking, standing up, sitting down, going upstairs, and going downstairs are found in good agreement with the safety factor for every biomaterial. Additionally, going downstairs and sitting down gait motion exhibits the maximum and minimum stress–strain level, respectively. Based on the outcome of the presurgical study, it is recommended that CoCrMo alloys should be preferred over other materials.

In this study, a sophisticated three-dimensional computational model was developed to investigate the kinetic and thermal characteristics of a bi-model slurry. This model utilized the Eulerian–Eulerian Re-Normalization Group k–ε turbulence approach in conjunction with the kinetic theory of granular flow. The slurry, composed of different combinations of silica sand and fly ash, was transported through a straight pipeline under varying Prandtl numbers. Five different mixture combinations were considered, ranging from 65% silica sand and 35% fly ash to 100% silica sand. The slurry was transported using four different Prandtl fluids with varying temperatures. The pipe wall was maintained at a constant temperature of 400 K. The computational results yielded significant findings. A mixture with a higher proportion of fly ash (65:35) exhibited superior flow characteristics when combined with a low-viscosity Prandtl fluid (Pr = 2.88), resulting in a minimal pressure gradient and specific energy consumption. Enhanced energy efficiency was observed at lower Reynolds numbers and reduced efflux concentrations. Additionally, the 95:05 mixture demonstrated the highest heat transfer coefficient, with further improvements as flow Reynolds numbers and efflux concentrations increased. These results provide valuable insight into optimizing the transportation of bi-model slurries for various industrial applications, emphasizing the importance of composition and Prandtl numbers.

In the present work, a finite element model with standard Charnley’s implant of hip joint is considered for investigation under different patient-specific dynamic activities obtained in vivo. The application of forces occurred due to human movement, which ultimately generates dynamic stress over the prosthesis. Anatomical loading constraints are more clinically relevant than ISO standards. The performance of different materials for each suitable gait pattern is analyzed using commercial finite element code. A liner isotropic material Ti-6Al-4V and PMMA material is utilized for an implant and bone cement, respectively. However, cortical and cancellous bone are treated as non-isotropic in nature. Clinically obtained dynamic forces and torque are being used for the present investigation. Additionally, Goodman, Solderberg, Gerber and ASME elliptic fatigue theories were considered to obtain the fatigue life of the implant. The most strenuous activity in terms of stress and strain are, going downstairs followed by going upstairs, walking, standing up and sitting down, which have been found in good agreement with the safety factor for every activity. Additionally, the life expectancy of the implant was a minimum of 23 years under every dynamic motion. The present work exhibits the greater relevance in terms of the life expectancy of implant for the pre-surgical analysis before implanted in vivo.