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Handbook of Research on Waste Diversion and Minimization Technologies for the Industrial Sector
In a given problem, the related attributes, which interact in the description of the problem. Only together, these attributes contain sufficient information for classification of instances. The relevant context may not be the same for all the instances in a given problem.
Published in Chapter:
Design and Development of Small-Scale Oil Palm Waste Shredder for Achieving Environmental Sustainability
Man Djun Lee (University College of Technology, Sarawak, Malaysia) and Pui San Lee (University College of Technology, Sarawak, Malaysia)
DOI: 10.4018/978-1-7998-4921-6.ch006
Abstract
This chapter presents the design and development of an economically and technically feasible small-scale oil palm waste shredder to contribuite to oil palm waste management. Most available oil palm waste shredders are unaffordable due to high initial investment cost, large, heavy and unportable, which have been the drawbacks for small and medium enterprises to participate in the industry that relates with oil palm waste management. To address this issue, a low-cost and small-scale oil palm waste shredder were designed and produced. The central design concept deduced is to compromise acceptable efficiency with an affordable price by integrating all mandatory components of oil palm waste shredder into a comparatively small and portable support structure. The innovations made in the design are size reduction and adoption of double-shafts cutters with seven jaws technology. Preliminary calculations supported the design. The cutting force produced is up to 19.45kN with safety factor of 4.5. This design can handle other oil palm wastes as oil palm frond is harder than other oil palm wastes.
Full Text Chapter Download: US $37.50 Add to Cart
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AF 447 as a Paradigmatic Accident: The Role of Automation on a Modern Airplane
In a given problem the related attributes, which interact in the description of the problem. Only together these attributes contain sufficient information for classification of instances. The relevant context may not be the same for all the instances in given problem.
Full Text Chapter Download: US $37.50 Add to Cart
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