21 research outputs found
[ME faculty Archie Maglaya and Jose Hernandez served as resource speakers]
No full textMechanical engineering faculty Archie Maglaya and Jose Hernandez served as resource speakers during the Engineering Week celebrations of the University of Perpetual Help Rizal
Enhancing instruction in fuels and combustion laboratory via a developed computer-assisted program for establishing efficient coal-diesel oil mixture (CDOM) fuel proportions
No full textThis paper discusses the relevance of digital computation in Fuels and Combustion Laboratory Experiments used by the senior students of the Department of Mechanical Engineering, De La Salle University-Manila, Philippines. One of the students\u27 experiments involved the determination of the most efficient CDOM fuel proportion as alternative fuel to diesel oil for steam generators and other industrial applications. Theoretical calculations show that it requires tedious and repetitive computations. A computer-assisted program was developed to lessen the time-consuming activities. The formulation of algorithms were based on the system of equations of the heat interaction between the CDOM fuel, combustion air and products of combustion and by applying the principles of mass and energy equations (or the First Law of Thermodynamics) for reacting systems were utilized. The developed computer-assisted program output verified alternative fuel selected through actual experimentation
Utilizing Philippine Calatrava coal-diesel oil mixture (CDOM) as alternative fuel for industrial steam generator
No full textThe fast depletion of fuel oil and the continuous increase in the demand for power is a global issue. In the Philippines, the demand for diesel oil is expected to increase significantly in a 20-year period as projected by the Department of Energy. In line with the Philippine Government\u27s thrust to lessen the dependence on imported energy, the agenda for the search for alternative fuel is highly prioritized. Thus, this paper presents the results of the study on performance analysis and efficiency test of a diesel oil fired industrial steam generator using Philippine Calatrava coal-diesel oil mixture (CDOM) as alternative fuel. A computer program was developed in HyperText Markup Language (HTML©) and JavaScript© to aid the computation of the adiabatic flame temperature from the governing system of equations based on the heat interaction between CDOM fuel, combustion air and products of combustion to determine the most desirable alternative fuel. Actual experimentation for the determination of CDOM fuel properties was also conducted to verify the alternative fuel selected through theoretical calculations. Results showed that the CDOM fuel with a particle size passing 75 μm (-200 mesh) sieve having a proportion of 5% pulverized coal-95% diesel oil and 10% pulverized coal-90% diesel oil could be handled throughout the test with no degradation of the industrial steam generator. The steam generator efficiency using diesel oil is close to the steam generator efficiency using both CDOM fuels. © 2005 Elsevier Ltd. All rights reserved
Numerical optimization of the Spin casting process parameters
No full textThe Philippine metals industry is envisioned at transforming the Philippines into a world-class and a reliable supplier of metal components, machineries and parts and other finished metal products. Development of other applications of spin casting could be of significant contribution to the growth of the metals industry in the Philippines. The objective of this study is to determine the optimum process parameters that will improve the quality of spin castings. Design parameters that have significant contributions in the improvement of the quality of spin casting products are identified which can serve as guidelines for researchers, designers and practitioners in the area of spin casting technology. A design of experiment optimization technique is applied to determine the optimal process parameters in the spin casting of zinc-based alloys. A polynomial regression model defining the relationship between the spin casting process parameters and the casting dimensions is used. An analysis of variance test was conducted to identify the process parameters that are statistically significant. The best results of the dimensional accuracy of the spin casting part were obtained when low values of runner length, runner diameter and disk closing pressure were used. The length of the mold runner as well as the interaction between the mold disk closing pressure and the runner length showed significant influence on the dimensional accuracy of the spin casting part. © IDOSI Publications, 2013
Ozone friendly stationary freezer design and peformance evaluation conforming to Montreal Protocol for Chee Puck Refrigeration Inc., Philippines
No full textThis paper explains the design, fabrication and performance testing of an ozone friendly stationary freezer using R-404A, a non-chlorofluorocarbon (non-CFC) refrigerant. The study was conducted by the authors of CHEE PUCK REFRIGERATION INCORPORATED, PHILIPPINES. The study is also in support to the Philippine Government commitment to the Montreal Protocol to cease the use of ozone depleting substances. End result of the study showed that the design temperature of -200 C for the stationary freezer was achieved within 25 minutes
Design parameters for the development of the spin casting industry in the Philippines
No full textIn line with the Philippine Government\u27s thrust to lessen the dependence on imported products and the prospects for higher exports of Philippine products, the agenda for the development and modernization of production processes that includes the metal casting processes, is highly prioritized. Spin casting has been widely used in the Philippines for novelty items or ornamental hardware only. Development of other applications of spin casting such as in rapid prototyping and production of functional items could be of significant contribution to the growth of the metals industry in the Philippines. Due to low investment and production cost, spin casting technology can be easily adopted by small and medium scale enterprises of the Philippine metals industry. In this paper, design parameters that have significant contributions in the improvement of the quality of spin casting products are identified which can serve as guidelines for researchers, designers and practitioners in the area of spin casting technology. Optimization methods and other engineering analysis techniques that can be possibly applied in the development of the spin casting process are presented
A comparative study between artificial neural network and linear regression for optimizing a hinged blade cross axis turbine
No full textIn this paper a quantitative model was used to optimize the power output of a hinged blade cross axis turbine using different blade configuration. With the following parameters; number of blades, length of blades, thickness of blade, angle of blade, and foil shape. The data was collected on actual experiments using the newly design and built (RS/HTTP) River-flow simulator/ Hydrokinetic Turbine Testing Platform. The artificial Neural Network and Linear regression analysis are used to model the fitness function. In order to calculate the different blade combination resulting power output and find the optimize configuration. The result and data that was gathered between the two models was compared and analyzed. © 2015 IEEE
Optimization of an algae ball mill grinder using artificial neural network
No full textEffects of the various ball mill operational grinding parameters for extracting microalgae were evaluated. This paper presents the use of MATLAB artificial neural network (ANN) for optimizing and improving the micro algae ball mill grinding process configuration set-up particularly on Nannochloropsis sp. The input parameters that was gathered, used and analyse are critical speed, duration, ball material, ball diameter, jar diameter, load percentage and ball-algae ratio. The researcher determines the amount of protein in the sample by using the Bradford Protein Assay Analysis. A total of 42 datasets was used to predict the optimize combination of the dataset. The authors used the MATLAB Programming and trained the neural network. MATLAB is used as an optimization tool to determine the best ball mill grinding configuration for the prototype set-up
Identification of Design Criteria for District Cooling Distribution Network with Ice Thermal Energy Storage System
No full textAbstractTwo (2) distribution network models of district cooling system with ice thermal energy storage system are presented in which the theoretical system pressure drop, system flow rate and flow rate requirements in each energy transfer station were determined. The hydraulic calculation and system simulation of distribution networks with and without secondary lines are evaluated based on system temperature difference set-point of 11°C. Variable primary flow pumping system arrangement was used to improve energy usage and to eliminate the need for a distribution pump in the network. The system of nonlinear equations was solved using multivariable Newton-Raphson method. The linearized equations revealed that coefficient matrices formed between the two networks were different from each other which suggested that different decomposition algorithms must be used to properly determine the solution vectors. Optimization technique such as exhaustive search method was adopted to identify the piping network design criteria that could yield minimum overall cost
Conversion of sugarcane bagasse to renewable semi-liquid fuel through direct thermochemical liquefaction
No full textThis paper discusses the conversion of sugarcane bagasse to renewable semi-liquid fuel. Oil was extracted from sugarcane bagasse using direct thermochemical liquefaction without using reducing gas. Alkali catalysts and water were mixed with powdered bagasse to attain a satisfactory yield. Results showed that a decreasing liquefaction temperature from 573 K to 473 K increases oil yields. Furthermore, 99% product conversion was attained at a reaction temperature of 523 K
