Hasil Pencarian  ::  Simpan CSV :: Kembali

"Commercialization ofbioethanol has recently intensified due to its market stability, low cost,sustainability, alternative fuel energy composition, greener output andcolossal fossil fuel depletion. Recently, because of greenhouse intensityworldwide, many researches are ongoing to reprocess the waste as well asturning down the environmental pollution. With this scenario, the invention ofbioethanol was hailed as a great accomplishment to transform waste biomass tofuel energy and in turn reduce the massive usages of fossil fuels. In thisstudy, our review enlightens various sources of plant-based waste feed stocksas the raw materials for bioethanol production because they do not adverselyimpact the human food chain. However, the cheapest and conventionalfermentation method, yeast fermentation is also emphasized here notably forwaste biomass-to-bioethanol conversion. Since the key fermenting agent, yeastis readily available in local and international markets, it is morecost-effective in comparison with other fermentation agents. Furthermore, yeasthas genuine natural fermentation capability biologically and it produces zerochemical waste. This review also concerns a detailed overview of the biologicalconversion processes of lignocellulosic waste biomass-to-bioethanol, thediverse performance of different types of yeasts and yeast strains,plusbioreactor design, growth kinetics of yeast fermentation, environmentalissues, integrated usages on modern engines and motor vehicles, as well asfuture process development planning with some novel co-products."

"Commercialization of bioethanol has recently intensified due to its market stability, low cost,sustainability, alternative fuel energy composition, greener output and colossal fossil fuel depletion. Recently, because of greenhouse intensity worldwide, many researches are ongoing to reprocess the waste as well as turning down the environmental pollution. With this scenario, the invention of bioethanol was hailed as a great accomplishment to transform waste biomass to fuel energy and in turn reduce the massive usages of fossil fuels. In this study, our review enlightens various sources of plant-based waste feed stocks as the raw materials for bio ethanol production because they do not adversely impact the human food chain. However, the cheapest and conventional fermentation method, yeast fermentation is also emphasized here notably for waste biomass-to-bio ethanol conversion. Since the key fermenting agent, yeastis readily available in local and international markets, it is more cost-effective in comparison with other fermentation agents. Furthermore, yeasthas genuine natural fermentation capability biologically and it produces zero chemical waste. This review also concerns a detailed overview of the biological conversion processes of lignocellulosic waste biomass-to-bio ethanol, the diverse performance of different types of yeasts and yeast strains, plus bioreactor design, growth kinetics of yeast fermentation, environmental issues, integrated usages on modern engines and motor vehicles, as well as future process development planning with some novel co-products."

"Recently, there was anincrease in demand of biomass pellets as an alternative energy source. However,it is necessary to reduce the size of granular materials during the pelleting process.The size reductionof eucalyptus bark occurs in the industrialprocessing of biomass pellets production, using a hammer milltogether with three sieve sizes of 3, 4, and 5 mm and the sieve speeds of 900, 1000, 1100, and 1200 rpm, respectively, which have beenexamined at a feed rate of 80 kg/h. The aims of this study were to determine theimportant parameters, namely rotational speed, to determine suitable sieve sizefor reducing the size of eucalyptus bark, and to analyze energy usage in thesize reduction process by using a hammer mill. The results have shown that using a 5 mm sieve size at 900 rpm sievespeed resulted in the best operating conditions in order to offer the highestcapacity and lowest specific energy consumption. Moreover, the average particle size of 0.15mm was an acceptable value. This study could be very beneficial in thedevelopment process to produce biomass pellets."

"The definition of the physical and mechanicalproperties of sugarcane trash pellets were necessary for the designconsiderations relating to storage, handling andprocessing equipment. The mixing ratios of groundsugarcane trash:cassava starch:water content (1.0:0.25:0.85 and 1.0:0.25:1.40 by weight) and pelleting speeds (100, 120, 140, and 160 rpm) were considered to determine their effects on bulkdensity, true density, porosity, durability and compressive strength. The results show that the mixing ratio byweight of 1.0:0.25:0.85 and pelleting speed of 120to 140 rpm were optimum for producing the sugarcane trash pellets. At the moisture content of 12.01% (wb), the bulk density, true density, durability and compressive strengthof biomass pellets were in the range of 330.93 to 365.00 kg/m3, 860.38 to 918.43 kg/m3, 99.34 to 99.46 % and 5.15 to 6.43 MPa, respectively."

"The kinetics of aluminumleaching from sludge solid waste (SSW) using hydrochloric acid at differentleaching temperatures (30-90°C) was studied. A mathematical model was developed based on ashrinking core model by assuming first-order kinetics mechanisms for leachingand an equilibrium linear at the solid-liquidinterface. The proposed model is suited to fit experimental data with threefitting parameters and to simulate the leaching of aluminum from SSW, which wasvalidated with the mass transfer coefficient (kc, cm/s),diffusion coefficient (De,cm2/s), and reaction rate constants (k, cm/s). The evaluated kc,De, and k are expected to follow an increasingtrend with increasing temperature. The correlation coefficient ≥ 0.9795, theroot mean square error ≤ 0.399, the mean relative deviation modulus ≤ 6.415%,and the value of activation energy is 13.27 kJmol-1. The proposed model could describe the kinetics ofaluminum leaching from the SSW DWT in accordance with test parameters andrelevant statistical criteria. Valuable information on the results of this workcan be given for the purposes of the simulation, optimization, scaling-up, anddesign of the leachingprocess."

"This paper reports onthe investigation of thermal properties of Kapok, Coconut fibre and Sugarcanebagasse composite materials using molasses as a binder. The composite materials were moulded into12 cylindrical samples using Kapok, Bagasse, Coconut fibre, Kapok and Bagassein the ratios of (70:30; 50:50 and 30:70), Kapok and Coconut fibre in theratios of (70:30; 50:50 and 30:70), as well as a combination of Kapok, Bagasseand Coconut fibre in ratios of (50:10:40; 50:40:10 and 50:30:20). The sample size is a 60 mmdiameter with 10?22 mm thickness compressed at a constant load of 180 N using a Budenbergcompression machine. Thermal conductivity and diffusivity tests were carriedout using thermocouples and theresults were read out on a Digital Multimeter MY64 (Model:MBEB094816), whilea Digital fluke K/J thermocouple meter PRD-011 (S/NO 6835050) was used to obtain thetemperature measurement for diffusivity. It was observed that of all the twelvesamples moulded, Bagasse, Kapok plus Bagasse (50:50), Kapok plus Coconut fibre(50:50) and Kapok plus Bagasse plus Coconut fibre (50:40:10) has the lowestthermal conductivity of 0.0074, 0.0106, 0.0132, and 0.0127 W/(m-K) respectivelyand the highestthermal resistivity. In this regard, Bagasse has the lowest thermalconductivity followed by Kapok plus Bagasse (50:50), Kapok plus Bagasse plusCoconut fibre (50:40:10) and Kapok plus Coconut fibre (50:50)."

"Batik waste can increase water characteristics, such as turbidity, colorand total suspended solids (TSS). Thus, an efficient technique for separatingBatik from the liquid to decrease these characteristics is needed. The aim ofthe current study was to understand the results of flotation using electrolysisand to investigate the bubble characteristics that influence the results of theflotation of Batik waste. Flotation studies have been conducted usingelectrolysis to produce bubbles to separate batik synthetic dye from theliquid. Research conducted with 316L stainless steel electrodes, inside a 100cm tall acrylic pipe with an inner diameter of 8.4 cm and a voltage variationof 10, 15 and 20 V. Batik waste was mixed with distilled water. Commercial alumpowder [aluminum sulfate, Al2(SO4)3.14H2O,that is 17% Al2O3] as the reagent was added to coagulateBatik waste in a ratio of 1 gram per 10 ml of Batik waste. The results showedthat flotation of Batik waste can be used to separate Batik waste with theaddition of alum. Alum was shown to be capable of acting as a collector in thistype of waste separation. The results showed that flotation using electrolysiscould be an effective method for reducing turbidity, color and TSS."

"This study was aimed todetermine the reaction stoichiometry between Cu(II) and di-2-ethylhexylphosphoricacid (D2EHPA) in Waste Palm CookingOil (WPCO). The stoichiometry was computed based onthe followingexperimentalmethods, namely slope analysis, loading test and Job?smethod. Slope analysis was used to measure the variation of the distribution coefficient"

"A mechanical assembly consists of several components to perform an intended function. At the design stage, the intended function must be converted into critical product dimensions. After determining the dimensions, a designer must determine the assembly tolerance and allocate this tolerance to the tolerances of the corresponding components. After determining the optimal tolerances, process selection must be conducted along with production allocation to the selected process. There are three aspects in commercial competition that must be considered by a manufacturing company: cost, quality, and delivery. The aim of this research is to develop an optimization model for process selection for a make to order company to minimize manufacturing cost, quality loss, and lateness cost. The model attempts to determine optimal tolerance and production allocation, which takes into consideration the production capacity and process sequence. Hence, the model attempts to include not only the product design decision, but also to solve the process selection and allocation problems. A numerical example is provided to show the implementation of the model."