Foldable furniture is a trend of the modern furniture industry. However, apart from limitations attributed to multifunctionality and space saving characteristics, a complete design process documentation of foldable furniture is uncommon in furniture research. This study aims to develop a space-saving multipurpose table for improved ergonomic performance. Features and functions are extracted from research articles and patents for concept generation. The final concept is modelled using Autodesk Inventor Professional 2019. Mechanical simulations are done to confirm the structural integrity of the invention before prototyping and testing. The tests accounted for usage efficiency, space and usability. Using Minitab 19, the experimental data are analysed with t-tests. The survey data are analysed using Spearman’s correlation test via IBM SPSS Statistics version 21. Participants were able to complete tasks around 1.1–1.5 times faster with the proposed invention than with single-function furniture items. The amount of space occupied with the proposed invention was approximately 25–80% lesser than with the single-function furniture items placed together. The survey analysis demonstrated that there was a strong, positive and significant correlation between space saving effectiveness and ergonomic performance. Further developments to transition this invention to its commercialisation phase should be done to facilitate daily living domestic activities of society at large.
The usage of natural fiber mat has created much attention especially in soil erosion control sector due to low cost and sustainable materials. This study investigated the effectiveness of natural fiber mat made from water hyacinth stems for soil erosion control. The water hyacinth fiber mat (WHFM) was fabricated with mesh opening size of 30 mm × 30mm and tested at 30 degree slope inclinations under simulated rainfall with constant intensity. Results revealed that soil with treatment (covered by WHFM) significantly decreased sediment yields and volumes, with average 78.74% reduction efficiency compared to untreated soil (bare soil).
Studies show that heavy machinery operators are exposed to risk factors of musculoskeletal diseases. However, there has yet to be a study investigating the grip analysis of heavy machinery control levers. This preliminary study aims to investigate the grip analysis of a system that emulates the push–pull operations, handle shapes, and resistance of wheel loader control lever systems. The system was designed, analysed, and optimised using Autodesk Inventor 2019 before fabrication and testing. It underwent usability testing for estimated and perceived grip force analysis (ergonomics analysis). The tests measured estimated force using a sensor glove, and perceived force using the Borg CR10 scale. The data were analysed using regression and paired t-tests. The findings suggested that pulling and high resistance factors required higher estimated force (339.50 N) and perceived force (5.625) than pushing and low resistance factors in manoeuvring the system (p < 0.05). The cylindrical handle required more estimated force (339.50 N) but less perceived force (4.5) than the spherical handle due to ergonomic design considerations (p < 0.05). Although there were inaccuracies in force measurement methods, the perceived method was still effective for data collection, since it is challenging to measure grip force in a real situation with heavy machinery. While this study was only a simulation, it provided researchers with ideas that may solve problems in the manipulation of heavy machinery control levers.
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