This research was conducted to produce asbestos free automobile disk brake pads using eco- friendly; Fan palm shells materials. The use of asbestos fiber is being avoided due to its carcinogenic nature that might cause health risks. A new brake pad was produced using agro waste materials ( fan palm shells)with thermoset resin as a binder to replace asbestos. Brake pad composites was produced using fan palm particles by varying the particle sizes from 125μm to 710μm. The morphology, physical, mechanical and wear properties of the brake pads were studied........

Keywords: - Composite, Morphology, Brake pads, Fan palm.

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[2]. Amaren S.G, Aku S.Y and Yawas D.S (2013); Effect of Peiwinkle Shell Particle Size on Wear Behaviour of Asbestos Free Brake Pad. Elsevier results in Physics 3 (3013) 109 - 114
[3]. Ahmet K. (2012).investigation of using natural zeolite in brake pad. Scientific Research and Essays Vol. 6(23)
[4]. Anderson.A. E. (2018),Friction and Wear of Automotive Brakes, in ASM Handbook, FrictionLubrication and Wear Technology, Volume 18, ASM International, Materials Park, Ohio, pp. 569-577
[5]. Blau.P.J(2014), Compositions, Functions and Testing of Friction Brake Materials and their Additives.Being a report by Oak Ridge National Laboratory for U.S Dept. of Energy.www. Ornl.gov/-
webworks/cppr/y2001/rpt/112956.pdf

The adoption of Learning Management Systems (LMS) in higher education institutions has become increasingly crucial in the wake of digital transformation and the global shift toward online and blended learning. This case study investigates the factors influencing LMS adoption among students and lecturers at the University of Ibadan Distance Learning Centre (UI DLC) in Nigeria. Through a comprehensive survey and path analytical modelling, this research explores the relationships between key variables and LMS adoption, aiming to contribute to a deeper understanding of technology adoption in higher education in the Nigerian context. The findings reveal several significant factors that influence LMS adoption among students and lecturers in Nigerian universities. For students, policy regulation, teacher training, and access to technology emerged as significant predictors of LMS adoption.........

[1]. Al-Azawei, A., Parslow, P., and Lundqvist, K. (2017) Investigating the effect of learning styles in a blended e-learning system: An extension of the technology acceptance model (TAM) Australasian Journal of Educational Technology, 33(2) Retrieved from https://ajet.org.au/index.php/AJET/article/view/2741
[2]. Al-Harbi, K. M. (2016). Exploring factors affecting the adoption of e-learning systems in Saudi Arabian universities. Computers in Human Behavior, 63, 196-205.
[3]. Al-Qahtani, A. A. (2019). Factors affecting the adoption of learning management systems by faculty members at a Saudi university: A mixed-method study. Education and Information Technologies, 24(6), 3579-3595.
[4]. Alqurashi, E. (2016). Predicting student performance by analyzing e-learning interactions. IEEE Access, 4, 7912-7921.
[5]. Cavanaugh, C. (2005). The effectiveness of interactive distance education technologies in K–12 learning: A meta-analysis. International Journal of Educational Telecommunications, 11(1), 33-48.

The adverse impacts of increased noise can range from hearing loss to loss of concentration and increased blood pressure etc. A study is conducted near Vijayawada in Andhra Pradesh to determine the ambient and traffic noise levels. Sampling is carried out for two days at four different locations identified based on locational significance. The noise levels are within the limits in silent and residential areas but exceeding in commercial and industrial areas. Traffic noise is determined at two busy locations representing Industrial and Commercial zones in Vijayawada for two days. Sampling is done on working and non-working days to assess the variation in the noise levels. Approximately 50% reduction of vehicle flow is noticed on non-working days but only a 2dB reduction is noticed. This shows the extent of traffic noise........

Key words: Noise attenuation, absorbing materials, ambient noise, traffic noise.

[1]. Anurag V. Tiwari, Prashant A. Kadu, and Ashish R.Mishra, (2013). "Study of Noise Pollution Due To Railway and Vehicular Traffic at Level Crossing and Its Remedial Measures" American Journal of Engineering Research, 2 (4), pp-16-19.
[2]. B.K. Swain, and ShreerupGoswami. (2013). "Integration and comparison of assessment and modeling of road traffic noise in Baripada town, India", International Journal of Energy and Environment, 4 (2), pp. 303-310.
[3]. CPCB, 2000. Ambient Air Quality Standards in respect of Noise, https://cpcbenvis.nic.in/noisepollution/noise_rules_2000.pdf, As on 25 Sept 2023.
[4]. Debasish Pal, Debasish Bhattacharya. (2012). "Effect of noise pollution on human work efficiency in government offices, private organizations and commercial business centre in Agartala city using fuzzy expert system (A case study)", Hindwai publishing corporation, 2012 (10.1155/2012/828593), pp 1-9.
[5]. Garg S.K. (2014). Sewage Disposal and Air Pollution Engineering, Khanna Publishers, 29th Edition, New Delhi

Background: In machine manufacturing in general, to shape a series of products with the same shape and size in a short time, it brings high productivity and lower product production costs, so the mold still exists and develops further. at this time and in the future. There is also a lot of research to improve the errors of previous molds so that the most optimal mold cannot deny the tireless research of scientists and technicians. Materials and Methods: Scientific experimentation is an important practical research method in which scientists actively influence the subject and the evolution of the event or phenomenon in which the subject participates, to guide its development.........

Key Word: Plasstic injection mold, Core, Cavity, Design, CAD/CAM, CNC.

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