ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
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unit time, for preventive replacements at time t p, denoted as D(t p). From<br />
equation (3) and (4) we show the sample calculations for:<br />
Pump bearing give the value of β = 5.26308 and η = 10.2572<br />
(see Table 7). Let T f = 0.071 wk, T p = 0.036 wk. The sample calculations<br />
illustrated in Table 9 and gives values of D(t p) for various of t p. Here it<br />
can be seen that the optimal preventive replacement interval is t p = 8<br />
weeks.<br />
Table 9 Optimal preventive replacement interval - Pump bearings (wk)<br />
t p 5 6 7 8 9 10 11<br />
D(t p) 0.00743 0.00653 0.00610 0.00603 0.00628 0.00684 0.00771<br />
Packing give the value of β = 5.49178 and η = 3.86463 (see<br />
Table 7). Let Tf = 0.024 wk, Tp = 0.006 wk. The sample calculations<br />
illustrated in Table 10 and gives values of D(tp) for various of tp. Here it<br />
can be seen that the optimal preventive replacement interval is tp = 2<br />
weeks.<br />
245<br />
Table 10 Optimal preventive replacement interval - Packing (wk)<br />
t p 1 2 3 4 5 6<br />
D(t p) 0.00599 0.00384 0.00559 0.01134 0.02268 0.04163<br />
4.6 Implement and Refine the maintenance plan<br />
According to section 4.5 we defined the appropriate task<br />
intervals and optimization for all Pulp Pump. At this stage we will<br />
implement the maintenance plan for machine MC1, MC2 and MC3, for<br />
example motor has failure mode is motor burn within the β = 1.42682<br />
that shown has constant failure rate (β~1) thus the appropriate<br />
maintenance task should be PM and the mean time to fail (MTTF) is<br />
62.6639 wks, so we will scheduled inspection at week of 60 th or month<br />
15 th . For other components scheduled PM intervals and optimization<br />
maintenance are shown as Table 11.<br />
Table 11 Scheduled PM Interval and Optimization for Pulp Pump components of Stock preparation unit<br />
Components Failure Mode<br />
Parameters<br />
β η<br />
Maintenance<br />
Task<br />
FFI<br />
(months)<br />
Replacement /<br />
Overhaul (wk)<br />
1. Motor Motor burns. 1.42682 62.6639 PM 15 -<br />
2. Belt Damaged or broken belt. 1.37027 23.5603 PM 5 -<br />
3. Shaft & Shaft sleeve Shaft wear or bend. 1.12241 26.0567 PM 6 -<br />
4. Pump bearings Bearing broke 5.26308 10.2572 PdM - 8<br />
5. Motor bearings Bearing broke 1.20565 56.2784 PM 14 -<br />
6. Packing Wear, pulp and water leaks 5.49178 3.86463 PdM - 2<br />
7. Flange Wear, water splashes into the bearing 1.42214 15.9930 PM 3 -<br />
8. Impeller Wear due to a hotchpotch 1.30804 111.277 PM 27 -<br />
9. Body Wear due to friction 1.18374 113.604 PM 28 -<br />
10. Pulley Pulley loose off 1.01427 82.1241 PM 20 -<br />
11. Pump base Base loose due to rust 1.01035 137.051 PM 34 -<br />
5. Overall Operation<br />
After implementation of maintenance plan per table 11<br />
within the paper machine and collecting data in order to compare<br />
with the result after applied maintenance action. By using operation<br />
indicator which is machine downtime and machine availability, the<br />
result is as follow Table 12 shown that when implementing<br />
preventive maintenance to establish maintenance plans the machine<br />
downtime for machine MC1 is 19.80%, MC2 is 19.98% and MC3 is<br />
19.00% and machine availability for MC1 is 80.20%, MC2 is<br />
80.02% and MC3 is 81.00% respectively.<br />
Table 12 Downtime of machine breakdown after maintenance<br />
improvement<br />
Month<br />
Operating Time<br />
(min)<br />
Downtime (%)<br />
MC1 MC2 MC3<br />
Availability (%)<br />
MC1 MC2 MC3<br />
Oct-10 44,640 22.52 24.39 23.33 77.48 75.61 76.67<br />
Nov-10 43,200 21.64 21.19 19.61 78.36 78.81 80.39<br />
Dec-10 41,760 20.09 19.93 19.38 79.91 80.07 80.62<br />
Jan-11 41,760 19.68 18.60 18.19 80.32 81.40 81.81<br />
Feb-11 40,320 15.08 18.19 16.83 84.92 81.81 83.17<br />
Mar-11 44,640 19.83 17.59 16.69 80.17 82.41 83.31