Studies on the mechanical and thermal stability of Calotropis gigantea fibre-reinforced bran nano particulates epoxy composite.

In recent trends, the usage of synthetic materials has been reduced by introducing natural fibres for lightweight applications. In this study, Madar (Calotropis gigantea) fibre is selected for the reinforcement phase (40%), and the epoxy polymer is blended with bran filler selected as a matrix material. To calculate hybrid composite mechanical characteristics, five composite laminates with different fibre/filler weight ratios were made. The results show that when the weight ratio of madar fibre increased, the superior mechanical properties were observed in the composite laminate sample (A), such as tensile strength (20.85 MPa), flexural strength (24.14 MPa), impact energy absorption (23 J) compared with an increasing the weight ratio of bran nanofiller to this composite material. At the same time, increasing bran nanofillers can improve thermal stability up to 445 °C of degrading temperature. To analyse the surface interaction between the madar fibres, bran nanofillers, and epoxy matrix by conducting the scanning electron microscope (SEM) analysis before subjecting to the mechanical test and also to identify the failure mode by conducting the SEM test after the laminates are broken during the mechanical tests of the hybrid composite.

Analysis of the characterization of NaOH-treated natural cellulose fibre extracted from banyan aerial roots.

Natural fibre is renewable and extensively utilized for structural and medicinal applications. The current research concentrates on surface modification for fibre enhancement using an alkaline treatment technique to extract raw fibre from banyan (Ficus benghalensis) aerial root bark. Using a 10% NaOH solution, attempts have been made to improve the crystalline, surface, thermal, physical, and chemical properties of banyan aerial root fibre (BAF). Five samples of BAF were produced by soaking the unprocessed fibre in an alkaline solution for variable amounts of time. On the surface of the treated BAF, a higher concentration of cellulose could be seen. The X-Ray Diffraction test revealed that the crystallinity index improved by 52%, with a crystalline dimension of 51.2 nm. It was observed that the crystalline content is increased in treated Banyan aerial root fiber due to this alkali treatment. The significance of natural fibre characterization is also briefly discussed, and this summary will serve as a resource for future studies on natural fibre composites by other researchers.

Application of artificial intelligence in green building concept for energy auditing using drone technology under different environmental conditions.

Thermal losses through weak building envelope is responsible for global current energy crises. Application of artificial intelligence and drone setups in green buildings can help in providing the sustainable solution the world is striving for years. The contemporary research incorporates a novel concept of measuring the wearing thermal resistances in the building envelope with the aid of a drone system. The above procedure conducts a throughout building analysis by considering three prime environmental parameters such as wind speed (WS), relative humidity (RH) and dry bulb temperature (DBT) with the aid of drone heat mapping procedure. The novelty of the study can be interpreted by the fact that prior researches have never explored the building envelope through a combination of drone and climatic conditions as variables in building areas difficult to access, thereby providing an easier, risk free, cost effective and efficient reading. Validation of the formula is authenticated by employing artificial intelligence-based software's which are applied for data prediction and optimization. Artificial models are established to validate the variables for each output from the specified number of climatic inputs. The pareto-optimal conditions attained after analysis are 44.90% RH, 12.61 °C DBT and 5.20 km/h WS. The variables and thermal resistance were validated with response surface methodology method, thereby presenting lowest error rate and comprehensive R2 value, which are 0.547 and 0.97, respectively. Henceforth, employing drone-based technology in estimating building envelope discrepancies with the novel formula, yields consistent and effective assessment for development of green building, simultaneously reducing time and cost of the experimentation.

Biomechanical investigation of tasks concerning manual materials handling using response surface methodology.

In typical manual material handling, the variations in walking pattern are decided by various factors, such as load being handled, frequency of handling, walking surface, etc. Traditional gait analysis protocols commonly evaluate individual factor within specified ranges associated with particular activities or pathologies. However, existing literature underscores the concurrent impact of multiple factors on gait. This study identifies five pivotal factors-walking speed, surface slope, load carried, carrying method, and footwear-as contributors to gait alterations. To address risk factors in manual material handling activities, we propose a unique design-of-experiment-based approach for multi-task gait analysis. Unraveling the relationship between manual handling attributes and human gait holds paramount importance in formulating effective intervention strategies. We optimized the five input factors across a cohort of 15 healthy male participants by employing a face-centered central composite design experimentation. A total of 29 input factor combinations were tested, yielding a comprehensive dataset encompassing 18 kinematic gait parameters (such as cadence, step length etc., measured using inertial measurement system), the isolated impacts of factors, and the interplay of two-factor interactions with corresponding responses. The results illuminate the optimal scenarios of input factors that enhance individual gait performance-these include wearing appropriate footwear, employing a backpack for load carriage, and maintaining a moderate walking pace on a medium slope with minimal load. The study identifies walking speed and load magnitude as primary influencers of gait mechanics, followed by the chosen carrying method. In consequence, the insights gained advocate for the refinement of manual material handling tasks based on the outcomes, effectively mitigating the risk of musculoskeletal disorders by suggesting the interventions for posture correction.

Processing and Characterization of Novel Bio-Waste Hybrid Brick Composites for Pollution Control.

The main focus of this research is to enhance the use of eco-friendly materials these days. The current materials used in building construction are chemical-based and are harmful to humans and the environment. This research work has developed a new type of hybrid brick by using natural fibres and waste materials. This research focuses on fabricating novel bricks reinforced with different percentages of coconut waste fibre, wheat straw fibre, waste wood animal dung ash, gypsum, sand, and cement. The fabricated novel brick's physical, mechanical, chemical, acoustic, and heat-absorbing properties were evaluated.

Development and Characterization of Carbon-Based Adsorbents Derived from Agricultural Wastes and Their Effectiveness in Adsorption of Heavy Metals in Waste Water.

The current work focuses on peanut shells and agricultural wastes richly in many nations subjected to pyrolysis treatment at various temperatures in the range of 500-800°C to determine the feasible physiochemical characteristics of the biochar. The biochars with the high surface area were employed to adsorb Pb2+ (lead) ions, the heaviest pollutants in the water bodies. The raw material, biochar, and pyrolyzed biochar were characterized by SEM, FTIR, partial and elemental analysis, and BET tests. The adsorption characteristics of the biochar, pre- and postpyrolysis treatment, were studied with the assistance of batch adsorption tests under varying test conditions. Adsorbing conditions were determined by evaluating the effects of adsorbing parameters like initial concentration of the lead in water, pH of the adsorbent, contact time, and mixing speed on the effective adsorption of Pb2+ ions from water. Langmuir, Freundlich, and Themkin isotherm expressions were employed to study the experimental results. The adsorption kinetics study showed that the synthesized biochars were chemically stable enough to adsorb the Pb ions onto the surface.