click here to download - UniKL MIMET Official Website

More documents

Recommendations

Info

have become a major issue without manage‐ ment’s commitment with regards to rewards and recognition, and UniKL is no exception. Con‐ versely, high performance culture comes with a conviction that without management’s commit‐ ment with regards to rewards and recognition UniKL may not be able to sustain its high per‐ formance‐driven culture. Evaluation of organizational members’ core val‐ ues and overall performance measurements as translated through the organizational KPI results in the following rewards and benefits; �� Annual Increment �� Promotion �� Recognition & Awards �� Merit Increment �� Merit Performance Reward/Bonus �� Special Incentives , that include Umrah, Vacation, Training �� Retirement Benefits, that include golden handshake, gratuity, higher employer contribution of EPF CONCLUSION �� The change from UniKL’s traditional organ‐ izational culture to a performance ‐ driven culture helps transform the university to be‐ come a high performance culture organiza‐ tion within a short period of time since in‐ ception in 2002. �� Organizational sharing of shared values held by members helps distinguish it from other similar organizations that offer a wide range of engineering technology courses in the higher education sector. �� High performance culture of UniKL is made possible by a strong commitment by mem‐ bers to excel in whatever they aspire to achieve. Strong commitment is reinforced through effective and transparent evaluation of organizational members’ core values and MIMET Technical Bulletin Volume 1 (2) 2010 overall performance measurements as trans‐ lated through annual organizational KPI that results in fair rewards and benefits. �� Within the context of UniKL’s organizational members who extol the virtues of “al‐ihsan” which means “to do something as though you see Allah, and since you cannot see Al‐ lah, know that He sees you” it implies that they are taking their commitment towards their work to a spiritual level beyond nor‐ mal ethical dimensions. REFERENCES 1. Berg, P., Kalleberg, A., and Appelbaum, E. (2003). Balanc‐ ing Work and Family: The Role of High‐Commitment Envi‐ ronments, Journal of Industrial Relations, Vol 42 Issue 2, Blackwell Publishing Ltd. 2. Dimitrov, D. (2005). Cultural Differences for Organizational Learning and Training. International Journal of the Diver‐ sity, Vol 5, No 4, Common Ground Publishing. 3. Hofstede, G (1980a). Culture’s Consequences. Beverly Hills, CA: Sage 4. Robbins, S.P and Judge, T.A.(2009). Organizational Behav‐ ior. 13 th Edition. Pearson Prentice Hall, USA. 5. Rchildress, J and Esenn, D. (2006). Secret of A Wining Cul‐ ture: Building High‐Performance Teams. Prentice Hall, India. 6. Xenikou, A and Simosi, M, (2006). Organizational Culture and Transformational Leadership as Predictors of Business Unit Performance. Journal of Managerial Psychology, Vol 21 Issue 6, Emerald Group Publishing Ltd. | MARINE FRONTIER @ UniKL 105
MIMET Technical Bulletin Volume 1 (2) 2010 Feature Article 9 TIME‐DOMAIN SIMULATION OF PNEUMATIC TRANSMISSION LINE MOHD YUZRI MOHD YUSOP* Deputy Dean Academic & Technology Malaysian Institute of Marine Engineering Technology, Universiti Kuala Lumpur Received: 28 October 2010; Revised: 2 November 2010; Accepted: 2 November 2010 ABSTRACT Pneumatic equipment is widely used in industries for transferring energy or signal. Efficient modelling and simulation in time domain for gas filled transmission line is of great importance that will provide the foundation for complex pneu‐ matic systems. The basic physical relationships in pneumatics are well established. In this paper, the finite difference model combined with the lumped model is used to simulate the dynamics of air filled polyurethane pneumatic transmis‐ sion line in time domain. Compared with the experimental data, the simulation results show certain consistency, espe‐ cially in the response frequency. The radial expansion of the transmission line due to high working pressure is also con‐ sidered in the simulation algorithm. Keywords: Pneumatic, transmission line, time‐domain simulation, finite‐difference, lumped modelling. INTRODUCTION In recent decade, there has been great devel‐ opments and interest in utilising pneumatic system as a transmission medium. Advan‐ tages of pneumatic systems are that pneu‐ matic components are relatively cheap reli‐ able and can be easily and cheaply main‐ tained. It is also much cleaner than hydraulic systems. However, the elastic nature of the compressed air will pose difficulties in achiev‐ ing high accuracy control. There are mature theories on steady state analysis of pneumatic systems but the dy‐ namic analysis of pneumatic systems still re‐ quires further research. Manning (1968) used the method of characteristics for pneumatic line flows. The perfect gas state equation and the isentropic relations, together with the perfect gas relation for sonic velocity are used to replace the density and pressure in the continuity and momentum equations by using *Corresponding Author: Tel.: +605‐6909004 Email address: myuzri@mimet.unikl.edu.my the velocity terms. For simplicity, the heat transfer, viscosity, three‐dimensional effects and local changes in entropy across travelling pressure waves are neglected. The determi‐ nation of characteristic lines is the key point of this method. Separating the transmission line into sections and treating each of them as a volume in time‐domain simulation has pre‐ viously been investigated by Krus (1999) and (Xue and Yusop, 2005). Krus (1999) established the distributed model according to the state principle of thermody‐ namics. (Xue and Yusop, 2005) meanwhile utilise the equation of flow passing through an orifice to calculate the mass flow rate. Considering the transmission line as an elec‐ tric circuit, the time domain models were established by Franco (2004). This paper in‐ vestigates the time domain simulation of a pneumatic transmission line. The one‐ dimensional Navier‐Stokes equations are | MARINE FRONTIER @ UniKL 106
Page 2 and 3:
EDITORIAL CHIEF EDITOR Prof. Dato
Page 4 and 5:
DIRECTIONAL STABILITY ANALYSIS IN S
Page 6 and 7:
The determinant from equations (3)
Page 8 and 9:
Table 1 ‐ Results of Stability Cr
Page 10 and 11:
DO 20 J=1,7 REFF(J)=1+((J‐1)*1.5/
Page 12 and 13:
Skeg Effectiveness Skeg Effectivene
Page 14 and 15:
Skeg Effectiveness Skeg Effectivene
Page 16 and 17:
A WATER FUELLED ENGINE FOR FUTURE M
Page 18 and 19:
Stainless steel pipes are used as e
Page 20 and 21:
Current development Hydrogen Oceanj
Page 22 and 23:
Car industry A small group of local
Page 24 and 25:
Big oil companies. For business sur
Page 26 and 27:
Websites: 1. http://www.schatzlab.o
Page 28 and 29:
Table 1: Global maritime Fleet Rank
Page 30 and 31:
No. of Ships No. of Ships 300 250 2
Page 32 and 33:
time players is 30. The demand for
Page 34 and 35:
References [1] UNCTAD, Review Marit
Page 36 and 37:
Table 3 : Tug boat Registered in Ma
Page 38 and 39:
NO SHIP NAME OWNER/OPERATOR GRT DWT
Page 40 and 41:
Page 42 and 43:
MIMET Technical Bulletin Volume 1 (
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Table 8 : Tankers Registered in Mal
Page 56 and 57: NO SHIP NAME OWNER/OPERATOR GRT DWT
Page 58 and 59: Table 10: Passenger Ship Registered
Page 60 and 61: NO SHIP NAME OWNER/OPERATOR GRT DWT
Page 62 and 63: Table 11: Container Ships Registere
Page 64 and 65: age and appropriate steps must be t
Page 66 and 67: tends to oxidize rapidly, even at a
Page 68 and 69: oxide or other anti‐oxidant addit
Page 70 and 71: MIMET Technical Bulletin Volume 1 (
Page 72 and 73: METHODOLOGY Description of Apparatu
Page 74 and 75: Preparation and procedure for Mecha
Page 76 and 77: Objective of the Research The resea
Page 78 and 79: Figure 2.1: LNG Trade Volume 1998,
Page 80 and 81: Mean Median Table 3.1: Carrier Aspe
Page 82 and 83: From the result in Table 3.1, it sh
Page 86 and 87: adversely affecting ship operations
Page 88 and 89: distributed system and other equipm
Page 90 and 91: Knowledge based system is a compute
Page 92 and 93: Again Butler and Sarma [28] put for
Page 94 and 95: particle swarm optimization (PSO)[1
Page 96 and 97: MI [27] Butler, K. L, Sarma, N.D.R.
Page 98 and 99: Positive transformation from its tr
Page 100 and 101: mutually exclusive, but rather comp
Page 102 and 103: Table 2. Measurements for Integrity
Page 104 and 105: Table 5. Measurements for Excellenc
Page 108 and 109: used to model the pneumatic transmi
Page 110 and 111: Figure 2: Transmission Line Diamete
Page 112 and 113: PDE equations (1) and (2). Comparis
Page 116 and 117: Since chemical products have high p
Page 118 and 119: Figure 6: Enclosed life boat with s
Page 120 and 121: UNIKL MIMET AND ALAM SHIP MANAGEMEN
Page 122: MIMET Technical Bulletin Volume 1 (
show all

click here to download - UniKL MIMET Official Website

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?