Synopsis of Papers to be Presented and Printed in the brochure at the conference:
|1. Advanced Evacuation Analysis considering the effects of fire using Computational Methods||
|2. Development Of A Customized Online Vibration Monitoring System For ICG Ships||
Author Name(s): Akula Chaturvedi (Surveyor, IRCLASS), Chen Guo Qing (Senior Engineer, CCS), Munir Muradi (Researcher, BKI), Kim Seong-jin (Deputy Senior Surveyor, KR) and Kieu Xuan Truong (Surveyor, VR)
The analysis to verify the adequacy of escape routes for evacuation is mandated by SOLAS for new passenger vessels, w.e.f 1st January 2020. The analysis needs to consider several factors including the composition and walking speed of the passengers, location and geometry of the escape routes etc. It is thus beneficial to perform an advanced evacuation analysis considering the various influencing parameters for precise assessment of evacuation time for a given design/layout and effect due to change in the parameters. Advanced evacuation analysis helps in identifying the critical bottlenecks in the evacuation path and facilitate design improvement effectively.
The present paper presents description of performing advanced evacuation analysis with a practical example. Also presents description on coupling of advanced evacuation analysis with computational fluid dynamics (CFD) solver to compute the effects of fire (smoke, heat and toxicity) on the passenger walking speed with an example of fire inside a restaurant scenario.
Author Name: Commandant (Dr) Angello Innocent Devasigamani
1. Maintenance in general is performed to increase the reliability, utilization, performance and life-time of the machinery. It is a process that is undertaken to keep machinery in proper working condition. The maintenance philosophy presently followed onboard an ICG ship is Planned Preventive Maintenance (PPM). The guiding principle of PPM is to carry out maintenance of machinery/ equipment after a fixed interval of time. The main drawback of PPM is that machinery are not fully exploited and sometimes PPM process may disturb an otherwise healthy machinery, often leading to other faults due to improper re-assembly and similar issues. The PPM is also unable to give advance warning about any impending failure that may occur within the pre-defined periodic inspection interval. PPM doesn’t take cognizance of prevailing health condition of the machinery and hence, despite undertaking maintenance of machinery at defined intervals, there are still unscheduled breakdowns.
2. In the present scenario for preventing unscheduled machinery breakdown / possibly catastrophic failure and increase operational availability of onboard machinery, there is a dire need of taking cognizance of the prevailing health condition of these running machinery. The health condition of these machinery can be ascertained by checking physical parameters viz. vibration, temperature, sound, etc. associated with machinery operation and the same can be analysed for determining machinery integrity. The collection of information from machines and its further analysis aids detecting the onset of defect, diagnose the health condition and trend its progression over time, in order to reach maximum availability of machinery.
3. All running machinery vibrates and each machine has its own vibration pattern. The major factors that lead to machinery vibrations are dynamic forces, wear and tear of moving members, looseness of machine parts, unbalance, misalignment, resonance, etc., to name a few. It is acknowledged that in case of most machines, the deterioration of the health can be detected easily and conveniently using vibration signal, although temperature and acoustic signals may also provide some indication, although not easy and foolproof. Thus, using vibration monitoring systems, one can assess machine vibration and correspondingly if the machine vibration is outside its normal level, it may indicate a potential problem. This is due to the fact that vibration level is directly correlated to the level of fault severity. Vibration monitoring helps in early detection of component anomalies based on the vibration data acquired from the target machinery. By early detection of anomalies, damage progression can be limited by scheduling and initiating an appropriate maintenance activity (changing of oil/bearing, resetting clearances, etc.) at an opportune time, resulting in increased machine availability and reduction in costs associated with unscheduled breakdown. The operational reliability of the critical mission is ensured.
4. ICG is in the process of development of a customized online Vibration Monitoring System for Aadesh class of Fast Patrol Vessel (FPV) as a Research and Development project, with the help of IIT Delhi. Initially the project will be undertaken as a pilot project on one of the above mentioned class of FPV. The online vibration monitoring system envisages fitment of vibration sensors on ship’s machinery and then online collection of vibration data which will be further processed using a diagnostic software. The software containing carefully calibrated algorithms that based on the input raw time domain vibration data, extracts relevant information, chooses appropriate post processing specially designed algorithms and generates appropriate inferencing on the current health of the system. It also generates data for trending the feature/parameter for easy interpretation of the overall health of the system to the operator.
5. Based on the outcome and experience of the programme it can be fine tuned for its efficacy and further extended to other class of ICG ship. The online health monitoring of machinery would help in assessing and ascertaining the actual health condition of equipment and would ensure minimum unnecessary maintenance, maximum interval between repairs, minimize unscheduled breakdowns and improve the overall availability of onboard machiner