Assistive Exoskeleton is a type of ergonomic product that is based on exoskeleton support and is a chair. Standing for five hours or more each day, according to a small study, increases the risk of considerable and prolonged lower-limb muscular fatigue. Long-term back pain and musculoskeletal problems may be increased as a result of this. Meanwhile, the researchers discovered that persons who primarily stand at work are several percent more likely than "predominantly sitting populations" to suffer heart disease. Because of its big size, high weight (5 to 7 kg), and hard frame, the traditional chair is inconvenient to transport to different working locations. As a result, they are unsuited for workplaces with limited space. Because lightweight members are used, the flexible wearable chair may have a gross weight of 3 kg. It has to be constructed in such a way that workers may be comfortable while performing their activities and can adjust their sitting posture to any angle between 90 and 160 degrees. This exoskeleton can be used as an extra pair of legs to allow a person to sit without using a chair or to adopt a more comfortable position for certain occupations. Workers can walk around normally, but they must adjust and secure the supporting structure in the proper position if they want to sit or lean. The weight is then balanced on the floor by their movable frames. It's designed for factory workers who must stand for extended periods of time in work and occasionally bend into unusual positions to build a product. Spatial management is a critical aspect in every industry. By optimizing the utilization of an Assistive Exoskeleton, superfluous chairs and resting areas can be avoided.
In comparison to green sand moulds, chemically bonded resin sand moulds have better dimensional accuracy, surface quality, and sand mould qualities. To survive sand drops when pouring molten metal, the mould cavity formed using a chemically bonded sand mould technique must have appropriate permeability, strength, and hardness. The desire for better permeability, strength, and mould hardness is based on a thorough investigation and analysis of the affecting parameters, such as resin percentage, hardener, and catalyst. The influence of binder content on the moulding qualities of silica sand bound with Alkyd oil urethane binder was investigated. Using a sieve shaker, the experimental materials were sieved and manually blended with the binders. AFS standard test specimens (50 mm diameter by 50 mm height) were prepared using a sand rammer, and four key moulding parameters were determined using a universal sand strength machine, permeability meter, and mould hardness tester: green compression strength (GCS), green shear strength (GSS), permeability, and mould hardness. For the minimal experiments, Box-Behnken experimental matrices were used, and the statistical significance of influencing factors and their interactions will be identified to manage the process. To statistically validate the model, an analysis of variance (ANOVA) test was performed using Minitab. Mold hardness, strength, and permeability will each have their own mathematical equation, which was stated as a nonlinear function of input factors based on experimental input-output data. To optimize the process parameters, a response optimizer (using Minitab) has been used. The results revealed that increasing the resin concentration from 1% to 2% enhances permeability and GSS while decreasing GCS and mould hardness. Hardener was increased from 18 to 20%, which resulted in a drop in permeability and GSS but an increase in GCS and mould hardness. Similarly, increasing the catalyst concentration from 2% to 10% reduces permeability and mould hardness while increasing GCS and GSS.
The main issue in today's society is traffic congestion in urban areas. When the number of vehicles is increased quickly, both peak and off-peak hours experience traffic congestion. This results in less effective road traffic management. Systems for controlling traffic lights rely on the traffic signals' set time intervals. These time-based signals waste time for the side of a small number of vehicles on the road, which is greater than another road of vehicles at a high pace, and make them wait for a very long period. The advanced method focuses on the minimal amount of time that automobiles on a road waste. Therefore, it gives the density-detected lane extra time and gives the other lanes the same amount of time. The lane with low density. The IR sensor and the 8051 series AT89S52 microcontroller can be used to accomplish this.
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