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Forero, Jorge Duarte
- Study of the Influence of Compression Ratio on the Rate of Heat Release in Small Displacement Diesel Engines
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Affiliations
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlantico, Barranquilla, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlantico, Barranquilla, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
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Indian Journal of Science and Technology, Vol 11, No 21 (2018), Pagination: 1-8Abstract
Background/Objectives: To make implementation of a thermodynamic diagnostic model to determine the rate of heat release in low displacement Diesel engines so that the performance of the combustion process can be quantified and sub-models of heat transfer can be adjusted; so that it can be applied in subsequent predictive modeling. Methods: With the pressure data in the combustion chamber and the set of variables composed of the pressure and temperature in the admission, fuel consumption, speed of rotation, injection pressure, compression ratio and environmental conditions, a thermodynamic model is defined. It allows quantifying how the heat release process occurs in the combustion process. Findings: The results allow verifying the influence of the compression ratio on the heat release process, finding that the rate of heat released increases with the increase of the variable under study. Likewise, it is verified that the most pronounced difference between the release rates for different compression ratios studied is in the premix combustion zone. Application: This methodology can be used for the process of optimization and redesign of thermal engines, to maximize the output power for the same fuel and operational conditions.References
- Wiebe I. Halbempirische formel fur die Verbrennungs-Geschwindigkeit. Academy of Sciences of the USSR, Moscow. 1956.
- Watson N, Pilley A, Marzouk M. A combustion correlation for Diesel engine simulation. SAE Paper. 1980. p. 56–7.
- Barba C, Burkhardt C, Boulouchos K, Bargende M. A phenomenological combustion model for heat release rate prediction in high-speed DI Diesel engines with common rail injection. SAE Technical Paper. 2001. p. 1–145.
- Hiroyasu H, Kadota T, Arai M. Development and use of a spray combustion modeling to predict Diesel engine efficiency and pollutants emissions: Part 1. Combustion Modeling Bull JSME. 1983; 26(214):569–75.
- Arregle J. Development of a zero-dimensional Diesel combustion model. Part 1: Analysis of the quasi-steady diffusion combustion phase. Applied Thermal Engineering. 2003; 23(11):1301–17. Crossref
- Jimenez V. Contribucion al modelado unidimensional de motores de dos tiempos de altas prestaciones. [Tesis Doctoral]. Departamento De Maquinas Y Motores T Ermico Universidad Politecnica De Valencia; 2013. p. 1–299.
- Amador G, Forero JD, Rincon A, Fontalvo A, Bula A, Padilla RV, Orozco W. Characteristics of auto-ignition in internal combustion engines operated with gaseous fuels of variable methane number. Journal of Energy Resources Technology. 2017; 139(4):1–8. Crossref
- Payri F, Olmeda P, Martin J, Garcia A. A complete 0D thermodynamic predictive model for direct injection Diesel engines. Applied Energy. 2011; 88(12):4632–41. Crossref
- Gupta R, Gupta P, Bhalla J, Mourya S. Performance analysis of a Diesel engine using the soybean oil based biodiesel. Indian Journal of Science and Technology. 2016; 9(36):1–6. Crossref
- Singh L, Sahni V. Performance and emission analysis of compression ignition engine coupled with electric generator set used Bakain Methyl Ester as Fuel. Indian Journal of Science and Technology. 2016; 9(33):1–6. Crossref
- Arams O. Diagnostico experimental del proceso de combustion en motores Diesel de inyeccion directa. 1998. [Tesis Doctoral]. Universidad Politecnica de Valencia. 1998.
- Methodology of Calibration of FSR Sensor for Seat Occupancy Detection in Vehicles
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Authors
Affiliations
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlántico, Barranquilla, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, CO
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlántico, Barranquilla, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 23 (2018), Pagination: 1-7Abstract
Background/Objectives: The implementation of a methodology for the calibration of a force sensor, applied to a commercial-type FSR for a seat occupancy detection application in a vehicle. This methodology is basedon the use of an Arduino® board, to establish a direct conversion between the sensor output, and the measured variable, which in this case correspond to the force applied. Methods: With the study of the behavior of the sensor response when coupled with a conditioning circuit, and the following calibration of this, to program a direct conversion between the circuit output voltage and the force detected by the sensor. Findings: It was found that using the programming of the Arduino board, the force value given by the Arduino GUI, have a maximum deviation from the real ones of approximately 1%, which can be attributed to conversion issues, but for the application required, the system studied has a great potential to use. Application: To calibrate a FSR force sensor, using a circuit conformed by a conditioning signal system, the sensor and the transducer element between the sensor and the graphical interface on a PC.References
- CreusSole A. Instrumentacion Industrial. 8th Edition. Barcelona: Marcombo, S.A.; 1998.
- Stewart C, Rohs M, Kratz S, Essl G. Characteristics of pressurebased input for mobile devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA; 2010. p. 801–10. Crossref.
- Li N, Yang D, Jiang L, Liu H, Cai H. Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map, Journal of Bionic Engineering. 2012; 9(1):39–47. Crossref.
- Passault G, Rouxel Q, Hofer L, Guyen SN, Ly O. Low-cost force sensors for small size humanoid robot. IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids); 2015. p. 1148. Crossref.
- Bi S, Min H, Zhuang Z, Huang Q, Mo H, Zhou Y, Li S. Walking control method of humanoid robot based on FSR sensors and inverted pendulum model. Conference Towards Autonomous Robotic Systems; 2012. p. 402–13. PMid: 23135114.
- Koehly R, Curtil D, Wanderley MM. Paper FSRs and latex/ fabric traction sensors: Methods for the development of home-made touch sensors. Proceedings of the International Conference on New Interfaces for Musical Expression (NIME06). Paris, France; 2006. p. 1–4.
- Argall BD, Billard AG. A survey of Tactile Human-Robot Interactions, Robotics and Autonomous Systems. 2010; 58(10):1159–76. Crossref.
- Schmidt PA, Mael E, Wurtz RP. A sensor for dynamic tactile information with applications in human-robot interaction and object exploration, Robotics and Autonomous Systems. 2006; 54(12):1005–14. Crossref.
- Ma C, Li W, Cao J, Wang S, Wu L. A Fatigue Detect System Based on Activity Recognition. International Conference on Internet and Distributed Computing Systems; 2014. p.303–11. Crossref.
- Lebosse C, Renaud P, Bayle B, De Mathelin M. Modeling and evaluation of low-cost force sensors, IEEE Transactions on Robotics. 2011; 27(4):815–22. Crossref.
- Florez JA, Velasquez A. Calibration of Force Sensing Resistors (FSR) for static and dynamic applications. In: IEEE ANDESCON; 2010. p. 1–6.
- Figliola R, Beasley D. Theory and design for mechanical measurements. 4th Edition. New York; Chichester: Wiley; 2006. p. 1–542.
- Interlink Electronics. FSR® Integration Guide; Evaluation Parts Catalog with Suggested Electrical Interfaces; 2006. p. 1–26.
- Sadiku MN, Alexander CK. Fundamentos de circuitoseléctricos. 5th Edition. México D.F.: McGraw-Hill; 2013. p. 1–1051.
- Application of Finite Elements in the Prediction of a Two-Dimensional Temperature Profile for Study of Advection-Conduction Phenomena
Abstract Views :222 |
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Authors
Affiliations
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlantico, Barranquilla,, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, CO
1 Mechanical Engineering Department, DIMER Research Group, Universidad del Atlantico, Barranquilla,, CO
2 Mechanical Engineering Department, KAI Research Group, Universidad del Atlántico, Barranquilla, CO
3 Chemical Engineering Department, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlántico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 25 (2018), Pagination: 1-5Abstract
Background/Objectives: Thermodynamic study of advection phenomena relies on the analytical methods to solve a series of Partial Differential Equations (PDE) that generates from multi-dimensional problems, which becomes more and more complex, especially when a 2D or 3D temperature profile is required. Methods: For the solution of heat transfer problems with simultaneous advection-conduction phenomena, finite differences of 2nd, 4th and 6th order were used to approximate the solution of a two-dimensional PDE. Findings: The results show that a low discretization of the system, originated substantial errors in the application of the high order finite, but, when is correctly used, the numeric approximation shows with great precision the temperature profile for the simultaneous advection and conduction heat transfer. Application: To develop a method to accurately predict the temperature profile for complex heat transfer applications where simultaneous advection and conduction are takeninto account.References
- Molina-Giraldo N, Blum P, Zhu K, Bayer P, Fang Z. A moving finite line source model to simulate borehole heat exchangers with groundwater advection. International Journal of Thermal Sciences. 2011; 50(12):2506–13. Crossref
- Li H, Nagano K, Lai Y. Heat transfer of a horizontal spiral heat exchanger under groundwater advection. International Journal of Heat and Mass Transfer. 2012; 55(23-24):6819– 31. Crossref
- Caissie D, Luce CH. Quantifying streambed advection and conduction heat fluxes. Water Resources Research. 2017; 53(2):1595–624. Crossref
- Asgari M, Akhlaghi M. Transient thermal stresses in twodimensional functionally graded thick hollow cylinder with finite length. Archive of Applied Mechanics. 2010; 80(4):353–76. Crossref
- Sawyer AH, Cardenas MB, Buttles J. Hyporheic temperature dynamics and heat exchange near channel-spanning logs. Water Resources Research. 2012; 48(1):1–11. Crossref
- Kreyszig H. Advanced engineering mathematics. 19th ed. USA: John Wiley and Sons, Inc. 2011. p. 1-1244.
- Incropera FP, Dewitt DP, Bergman TL, Lavine AS. Fundamentals of heat and mass transfer. 12 ed. Hoboken NJ: John Wiley and Sons, Inc. 2007. p. 1–9997.
- Cogne C, Labouret S, Peczalski R, Louisnard O, Baillon F, Espitalier F. Theoretical model of ice nucleation induced by acoustic cavitation. Part 1: Pressure and temperature profiles around a single bubble. Ultrasonics Sonochemistry. 2016; 29:447–54. Crossref PMid:26044460
- Rana P, Bhargava R. Flow and heat transfer of a nanofluid over a nonlinearly stretching sheet: A numerical study. Communications in Nonlinear Science and Numerical Simulation. 2012; 17(1):212–26. Crossref
- Raymond J, Therrien R, Gosselin L, Lefebvre R. Numerical analysis of thermal response tests with a groundwater flow and heat transfer model. Renewable Energy. 2011; 36(1):315–24. Crossref
- Soleimani S, Sheikholeslami M, Ganji DD, Gorji-Bandpay M. Natural convection heat transfer in a nanofluid filled semi-annulus enclosure. International Communications in Heat and Mass Transfer. 2012; 39(4):565–74. Crossref
- Zhao J. Compact finite difference methods for high order integro-differential equations. Applied Mathematics and Computation. 2013; 221:66–78. Crossref
- Lele SK. Compact finite difference schemes with spectrallike resolution. Journal of Computational Physics. 1992; 103(1):16–42. Crossref
- Camargo C, Garcia C, Forero JED, Rincon A. Modelo estadístico para la caracterizacion y optimizacion en bombas perifericas. Ingenieria y Desarrollo. 2017; 36(1):18–39. Crossref
- Parametric Study of the Pressure Profile in a Nozzle as a Function of Compressible Flow Parameters
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Authors
Affiliations
1 Department of Mechanical Engineering, DIMER Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
3 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
1 Department of Mechanical Engineering, DIMER Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
3 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 25 (2018), Pagination: 1-4Abstract
Background/Objectives: To take into an account the effects of compressibility when studying the flow of any fluid, it is necessary to define a series of additional parameters in the nozzle analysis, which is a complex job to do in a manual strategy, leaving as a suitable option the use of numerical methods programmed in a commercial software (such as MATLAB®). Methods: Variations were made in compressible flow parameters, such as initial pressure and temperature, and the Mach number, to study their influence over the pressure profile of the air inside a nozzle. Findings: The results show a low influence of the temperature over the pressure profile, a medium to high influence from its intake pressure, and a close relationship with the Mach number, getting even higher pressure drops when it only increases a bit. Application: To predict the behavior of the fluid flow through a nozzle, and to establish design and simulation criteria for these, when subjected to a particular application.References
- Salvador FJ, Martinez-Lopez J, Caballer M, De Alfonso C. Study of the influence of the needle lift on the internal flow and cavitation phenomenon in diesel injector nozzles by CFD using RANS methods. Energy Conversion and Management. 2013; 66:246-56. Crossref.
- Salvador FJ, Hoyas S, Novella R, Martinez-Lopez J. SAGE Publications Sage UK: London, England: Numerical simulation and extended validation of two-phase compressible flow in diesel injector nozzles. The Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2011; 225:545-63. Crossref.
- Liu Z, Im K-S, Wang Y, Fezzaa K, Xie X-B, Lai M-C, Wang J. Near-Nozzle Structure of Diesel Sprays Affected by Internal Geometry of Injector Nozzle: Visualized by Single-Shot X-ray Imaging. SAE Technical Paper. 2010; p. 1-10.
- Torregrosa AJ, Serrano JR, Arnau FJ, Piqueras P. A fluid dynamic model for unsteady compressible flow in wallflow diesel particulate filters. Energy. 2011; 36(1):671-84. Crossref.
- Rankin BA, Hoke JL, Schauer FR. Periodic Exhaust Flow through a Converging-Diverging Nozzle Downstream of a Rotating Detonation Engine. AIAA SciTech, 52nd Aerospace Sciences Meeting. 2014; p. 2014-1015. Crossref.
- Chen ZJ, Przekwas AJ. A coupled pressure-based computational method for incompressible/compressible flows. Journal of Computational Physics. 2010; 229(24):9150-65. Crossref.
- Shamsoddini R, Nezhad AH. Numerical analysis of the effects of nozzles number on the flow and power of cooling of a vortex tube. International Journal of Refrigeration. 2010; 33(4):774-82. Crossref.
- Balabel A, Hegab AM, Nasr M, El-Behery SM. Assessment of turbulence modeling for gas flow in two-dimensional convergent-divergent rocket nozzle. Applied Mathematical Modelling. 2011; 35(7):3408-22. Crossref.
- Schmidt DP, Gopalakrishnan S, Jasak H. Multi-dimensional simulation of thermal non-equilibrium channel flow. International Journal of Multiphase Flow. 2010; 36(4): 284-92. Crossref.
- Gekle S, Peters IR, Gordillo JM, Van Der Meer D, Lohse D. Supersonic air flow due to solid-liquid impact. Physical Review Letters. 2010; 104(2):024501. Crossref. PMid:20366598
- Najar NA, Dandotiya D, Najar FA. Comparative Analysis of K- ε and Spalart-Allmaras Turbulence Models for Compressible Flow through a Convergent-Divergent Nozzle. The International Journal of Engineering and Science (IJES). 2013; 2(8):8-17.
- Camargo C, Garcia C, Duarte Forero JE, Rincón A. Modelo estadístico para la caracterizacion y optimización en bombas perifericas. Revista Científica Ingenieria y Desarrollo. 2017; 36(1):18-39. Crossref.
- Herrera MD, Castro E, Duarte J, Valencia GE, Obregón LG. (2018). Second Law Analysis of Supercritical Partial Cooling Brayton Cycle with Recompression. Contemporary Engineering Sciences. 2018; 11(44):2149-56. Crossref.
- Statistical Characterization of Process Variables on the Operation of Continuous Tracked Vehicles
Abstract Views :194 |
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Authors
Affiliations
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla,, CO
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla,, CO
Source
Indian Journal of Science and Technology, Vol 11, No 29 (2018), Pagination: 1-7Abstract
Background/Objectives: The implementation of Design of Experiments as a tool for the study of process variables related to the operation of some types of industrial machinery, such as Continuous Tracked Vehicles, as a base for optimization processes that allow establishing an operational point with the most efficient use of these vehicles. Methods: Using a factorial design, a series of experiments were realized, with some process variables as design factors, each one arranged with two design levels. From these, statistical methods were used to validate the normal distribution of the results and at the same time, to establish mathematical expressions that correlate said parameters. Findings: The results allowed the determination of the factors that can be neglected in optimization processes, due to their low influence of the operation characteristics; besides, it was demonstrated that certain parameters, as the terrain, have little or no influence on the vehicle performance, which serves as a valid criterion to evaluate future investments inload transport systems. Application: To develop a tool for the prediction of the operation characteristics of Continuous Tracked Vehicles which will be used for the estimation of potential savings generated by more efficient use of these machines?References
- Rahman A, Yahya A. Performance investigation of an advanced tracked prime mover on the low bearing soil. Journal of Terramechanics. 2013; 50(4):233–44. https://doi.org/10.1016/j.jterra.2013.06.001
- Okada Y, Nagatani K, Yoshida K, Yoshida T, Koyanagi E. Shared autonomy system for turning tracked vehicles on rough terrain using real-time terrain scanning. 2010 International Conference on Advanced Mechatronics. 2010; 5:357–62. https://doi.org/10.1299/jsmeicam.2010.5.195
- Negrut N, Melanz D, Mazhar H, Lamb D, Jayakumar P, Letherwood M. Investigating through simulation the mobility of light tracked vehicles operating on discrete granular terrain. SAE International Journal of Passenger Cars - Mechanical Systems - V122-6EJ. SAE International Journal of Passenger Cars - Mechanical Systems-V122-6. 2013; 6(1):369–81.
- Okada Y, Nagatani K, Yoshida K, Tadokoro S, Yoshida T, Koyanagi E. Shared autonomy system for tracked vehicles on rough terrain based on continuous three-dimensional terrain scanning. Journal of Field Robotics. 2011; 28(6):875–93. https://doi.org/10.1002/rob.20416
- Tiwari VK, Pandey KP, Pranav PK. A review on traction prediction equations. Journal of Terramechanics. 2010; 47(3):191–9. https://doi.org/10.1016/j.jterra.2009.10.002
- Triola M. Estadística. 10th Ed. Mexico: Pearson Educación de Mexico, S.A. 2009. p. 1–914.
- Juang LW, Kollmeyer PJ, Anders AE, Jahns TM, Lorenz RD, Gao D. Investigation of the influence of superimposed AC current on lithium-ion battery aging using statistical Design of Experiments. Journal of Energy Storage. 2017; 11:93–103. https://doi.org/10.1016/j.est.2017.02.005
- Garcia S, Fernandez A, Luengo J, Herrera F. Advanced nonparametric tests for multiple comparisons in the Design of Experiments in computational intelligence and data mining: Experimental analysis of power. Information Sciences. 2010; 180(10):2044–64. https://doi.org/10.1016/j.ins.2009.12.010
- Naus G, Vugts R, Ploeg J, van de Molengraft R, Steinbuch M. Cooperative adaptive cruise control, design and experiments. IEEE Proceedings of the American Control Conference; 2010. p. 6145–50. https://doi.org/10.1109/ ACC.2010.5531596
- Vicente G, Coteron A, Martinez M, Aracil J. Application of the factorial Design of Experiments and response surface methodology to optimize biodiesel production. Industrial Crops and Products. 1998; 8(1):29–35. https://doi.org/10.1016/S0926-6690(97)10003-6
- Hernandez R, Fernandez C, Baptista M del P. Metodología de la investigacion. 5th Ed. Mexico D.F.: McGraw-Hill; 2010.
- Development of a Model to Predict Efficiency Parameters in Industrial Processes
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Authors
Affiliations
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidaddel Atlantico, Barranquilla, CO
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidaddel Atlantico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 29 (2018), Pagination: 1-6Abstract
Background/Objectives: The implementation of regression and correlation analysis as a tool for the modeling of industrial- scale milling processes, as a base for optimization processes that allow establishing a production regime with the highest consumption rate and therefore, a better process performance. Methods: Using the multivariate regression methods, a mathematical model to establish a correlation between the consumption rate and the factors that influence it was developed; in this process, a series of statistical analysis was developed to select the factors that generate an effect on the behavior of the consumption rate, at the same time, to determinate the best fit for the experimental data measured, using a statistical tool for the operations required. Findings: From the obtained results, it is shown that from the set of initial variables studied, only two (the humidity and the production), have a degree of correlation enough to be taken in account into post-processing operations; besides, it was found that the behavior of the consumption rate can be approximated as a linear combination of the relevant factors, with a better accuracy when compared to more complex fits, which in turn generates a model easy to handle in optimization processes Application: To develop a tool for the prediction of the behavior of consumption rate in milling processes, which will be used for the establishment of a more efficient production regime, where a better planification yields a lower energy consumption, with the same production level.References
- Pecat O, Rentsch R, Brinksmeier E. Influence of milling process parameters on the surface integrity of CFRP. Procedia CIRP. 2012; 1:466–70. https://doi.org/10.1016/j.procir.2012.04.083
- Campatelli G, Lorenzini L, Scippa A. Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel. Journal of Cleaner Production. 2014; 66:309–16. https://doi.org/10.1016/j.jclepro.2013.10.025
- Vazquez E, Rodríguez CA, Elías-Zu-iga A, Ciurana J. An experimental analysis of process parameters to manufacture metallic micro-channels by micro-milling. International Journal of Advanced Manufacturing Technology. 2010; 51(9– 12):945–55. https://doi.org/10.1007/s00170-010-2685-4
- Wang H, Qin X, Ren C, Wang Q. Prediction of cutting forces in helical milling process. International Journal of Advanced Manufacturing Technology. 2012; 58(9–12):849–59. https://doi.org/10.1007/s00170-011-3435-y
- Triola M. Estadística. 10th Ed. Mexico: Pearson Educacion de Mexico, S.A; 2009.
- Woodside AG. Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research. 2013; 66(4):463–72. https://doi.org/10.1016/j.jbusres.2012.12.021
- Lambourne K, Tomporowski P. The effect of exercise-induced arousal on cognitive task performance: A meta-regression analysis. Brain Research. 2010; 1341:12–24. PMid: 20381468. https://doi.org/10.1016/j.brainres.2010.03.091
- Tonidandel S, LeBreton JM. Relative importance analysis: A useful supplement to Regression Analysis. Journal of Business and Psychology. 2011; 26(1):1–9. https://doi.org/10.1007/s10869-010-9204-3
- Bel G, Fageda X, Warner ME. Is private production of public services cheaper than public production? A meta-regression analysis of solid waste and water services. Journal of Policy Analysis and Management. 2010; 29(3):553–77. https://doi.org/10.1002/pam.20509
- Fernandes BS, Gama CS, Maria Cereser K, Yatham LN, Fries GR, Colpo G, de Lucena D, Kunz M, Gomes FA, Kapczinski F. Brain-derived neurotrophic factor as a statemarker of mood episodes in bipolar disorders: A systematic review and meta-regression analysis. Journal of Psychiatric Research. 2011; 45(8):995–1004. PMid: 21550050. https://doi.org/10.1016/j.jpsychires.2011.03.002
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- Camargo C, García C, Duarte Forero JE, Rincon A. Modelo estadístico para la caracterizacion y optimizacion en bombas perifericas. Revista Cientifica Ingenieria y Desarrollo. 2017; 36(1):18–39. https://doi.org/10.14482/ inde.36.1.10939
- Application of Simulation Software in the Characterization of Polar Robot Manipulators
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Authors
Affiliations
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Chemical Engineering, Sustainable Chemical and Biochemical Processes Research Group, Universidad del Atlantico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 30 (2018), Pagination: 1-5Abstract
Background/Objectives: The implementation of a method for the characterization of polar (or spherical) robot manipulators for arc welding applications, based on the usage of mechanical simulation software to predict the behavior of the main kinetic variables of said mechanism, previous to its physical elaboration. Methods: With the application of simulation software, kinetic variables of a polar robot manipulator, such as velocities and accelerations, were determined using a commercial simulation package; to validate the simulation results, these were compared by the results given by the application of the theoretical model used for the study of polar manipulators, which is available in the literature. Findings: The results obtained by using the simulation package, shared the same behavior as the results obtained through the application of the theoretical model, with a little deviation from the theoretical results (less than 5%). Besides that, the simulation model allowed to obtain results to a higher speed than the solution of theoretical equations (harder to solve at hand) with the same accuracy, which is an important parameter when optimization processes are required. Application: To develop a tool for the kinetic analysis of polar robot manipulators for arc welding applications, using simulation software.References
- Mahboubi S, Fakhrabadi MMS, Ghanbari A. Design and Implementation of a Novel Spherical Mobile Robot. Journal of Intelligent & Robotic Systems. 2013; 71(1):43-64. https://doi.org/10.1007/s10846-012-9748-8
- Yue M, Liu B. Adaptive control of an underactuated spherical robot with a dynamic stable equilibrium point using hierarchical sliding mode approach. International Journal of Adaptive Control and Signal Processing. 2014; 28(6):52335. https://doi.org/10.1002/acs.2413
- Roozegar M, Mahjoob MJ, Jahromi M. Optimal motion planning and control of a nonholonomic spherical robot using dynamic programming approach: simulation and experimental results. Mechatronics. 2016; 39:174-84. https://doi.org/10.1016/j.mechatronics.2016.05.002
- Chen WH, Chen CP, Tsai JS, Yang J, Lin PC. Design and implementation of a ball-driven omnidirectional spherical robot. Mechanism and Machine Theory. 2013; 68:35-48. https://doi.org/10.1016/j.mechmachtheory.2013.04.012
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- Characterization of the Generation Through Electrolysis of HHO and its Combustion Process
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Authors
Affiliations
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Mechanical Engineering, Universidad del Atlantico, Barranquilla, CO
1 Department of Mechanical Engineering, KAI Research Group, Universidad del Atlantico, Barranquilla, CO
2 Department of Mechanical Engineering, Universidad del Atlantico, Barranquilla, CO
Source
Indian Journal of Science and Technology, Vol 11, No 34 (2018), Pagination: 1-8Abstract
Background/Objectives: Implement a cell’s bench hydrogen producers for partial replacement fuel in a diesel burner, so that the generation and combustion of HHO it can be quantified and in this way make theoretical models that predict the rate of generation of this gas. Methods: With the simulations, volume data produced gas, produced by the water electrolysis and the set of variables formed such as they are, mixed temperature of the liquid form, the operating pressure, the intensity of the consumed current by the electrolyzer, the length and duration of the flame and the electrical power required. With these data characterizing the process is done. Findings: The results allow to determine the concentration of KOH is the fundamental factor that directly influences the production and all its variables, the best working concentration is 300 gr because it produces more HHO in less time compared to the others, but brings adverse effect a high current and temperature intensity, which makes an increasein the energy consumption. Application: This methodology can be used for the process of optimization and redesign of thermal engines, to maximize the output power for the same fuel and operational conditions.References
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