The Importance Of Effective Maintenance

The Importance Of Effective MaintenanceSince the maintenance has signifi washstandt impacts in industry, it has received a deep attention from the expert and serviceable maintenance. According to study, maintenance costs can represent from 15% to 40% of the costs of replete(p)s produced x2. Maintenance of process equipment is ane of the inescapable tasks associated with the operation of industrial plants and until relatively recently, it was implemented either on a routine basis or after the failure of equipment. Attitudes argon changing and zero(prenominal) many organisations ar adopting methods for identifying incipient faults, so that maintenance can be scheduled before there has been a failure, which would lead to loss of production and spoilage of raw material. Plants and different form centres argon assembled from a across-the-board variety of mechanical and electrical equipment, which due to their very nature ar subject to wear, corrosion, erosion and other forms of degradation 1.It is astray accepted that intelligent, sensor based manufacturing is vital to achieve a high availability level of the sophisticated manufacturing systems in conjunction with high quality levels of construct members. Advanced sensor design, coupled with signal treat technologies, permits improved information about the process stipulation enabling process optimisation and control. It is not enough to nurse information relating solely to the tool condition. Additional capabilities such as in process quality control and apparatus tool diagnostics are a requirement of the future, i.e. a shift from monitor the tool condition to monitoring the process condition and the resulting part quality. 2 The use of mechanical quivering and acoustic emission signals for fault diagnosis in rotating machinery has grown significantly due to advances in the progress of digital signal processing algorithms and implementation techniques. The conventional diagnosis technology usi ng acoustic and vibration signals already exists in the form of techniques applying the time and frequency domain of signals, and analysing the difference of signals in the spectrum. Unfortunately, in some applications the process is limited, such as when the signals caused by a damaged element are buried in background disagreement. x3In recent years, the possibility of obtaining more flesh out information regarding the operation of process equipment by applying signal analysis techniques to conventional process measurements has, hitherto, been largely overlooked. This is because the principal purpose of the majority of process measurement systems is to allow for a smooth signal for process control purposes. Therefore most process measurement systems are designed to produce a steady outturn signal, which is achieved by restricting the frequency response of the measurement system and thereby suppressing the noise component. 1Signal transients are generally characterised by a sho rt era in time as compared to the observation interval. Research has shown that very important measurement information is often associated with the transients 1,2. For example the vibration signals gene sendd on a gearbox, the transients usually correspond to the local fault of the gear teeth, such as deformation, breakage and fracture. Thus analysing the transients of gearbox vibrations is useful for representing the characteristics of the gearbox health. However, it is not an easy task because the vibration measurements often carry heavy noise in the spurting environment, which could bury the essential vibration information of gears. Therefore, it is important and necessary to detect the transients with the machine health information in the very low signal-to-noise ratio conditions 3,4.1.2. Previous WorkThis section contains information about the previous work that has been carried out with regards to condition monitoring and signal processing techniques. It in like manner pr ovides an outline of the different modern signal processing techniques used by researchers to identify faults with various machine components.1.2.1 form toolA machine management system was developed at Cardiff University as a part of the MIRAM project (Machine Management for Increasing Reliability, Availability and Maintainability) that provides speedy fault diagnosis and allows the implementation of a predictive maintenance strategy 4. This was used to extract entropy from the machine components by the sensors attached to it. The data processing methods implemented in the system allowed the characterization of normal and faulty behaviour of the machine component on a lower floor investigation.An analysis has demonstrated the application of vibration monitoring using signal processing techniques such as Skewness, Standard deviation, RMS (Root Mean Square) and Kurtosis on the spindle system of machine tools. The results obtained from a signal after implementing kurtosis as a sign al processing technique show a relatively high kurtosis value compared to other signals, which indicates a fault, associated with the spindle system. This analysis also describes the variations in the transients obtained from the coolant system of the machine tool. 5Water interference plantThe research work conducted by a PhD student on the WRAP (Water Resources and Action Programme) test control set-up at Cardiff University focuses on analysing the flow, pressure and affection speed request characteristics with respect to blockages induced on different valves. This analysis also studies the performance of the plant in relation to any leakages occurring in the system. other analysis, which studies the performance of the same water filtration plant considers inducing 25 %, 50%, 75 % and 100 % blockages on the valves pre and contribute the pump. A fault dictionary created using a mathematical model approach was used to differentiate between the pre and post pump blockages and thei r degree of severities. 6 function of modern signal processing techniquesA review of modern signal processing techniques applicable to the analysis of signals whose frequency content is non-stationary has been studied in (R. Burnett, J.F. Watson*, S. Elder) 7. Techniques interchangeable FFT (Fast Fourier Transform), STFT (Short-Time Fourier Transform) and Spectrogram have been discussed and compared using both test and actual data. Results are presented which identify the technique most appropriate for the task of fault detection in machine components under transient conditions 7. A continuous wavelet transform (CWT) technique used for fault signal diagnosis in an internal blaze engine and its coolant system by using vibration signals has been studied by Wu Chen (2005) 8. The advantages of using this technique for the characterization of transitory features of non-stationary signals have also been identified.Another journal contains a detailed study of the raw data obtained from physical machine parameters. It reviews the implementation of various modern signal processing and analysis techniques in time and frequency domain. Analysing signals in time domain for an initial analysis does not necessarily provide meaningful information due to background noise but transforming the signals into frequency domain provides detailed information. Further analysis shows how the vibration harmonics are linked to the identification of different types of machine faults. The harmonics at bottom the signal categorising a component as faulty can be compared with the amplitude of those corresponding to components in a healthy condition to identify machines condition. 9Aims of the projectThe aims of the project are enumerated belowStudy the characteristics and relevance of different modern signal processing techniques for the task of early fault detection in industrial machine components. prevail these modern signal processing techniques using Matlab to an archive of machine tool and water treatment plant signals obtained from the data acquisition system ( dassie) and from a experience transfer program (KTP).Analyse these Matlab processed signals and identify the characteristics of the signal indicating a normal or faulty behaviour of the component under analysis.Chapter 2 Applications / Systems under studyWadkin V4-6 FMCThe Wadkin vertical machining centre was designed as a flexible manufacturing cell to perform operations on small to medium sized components. It comprises a fixed base, a single column, three axes of movements, an automatic tool changer, eight pallet loading stations and pallet transporter. Figure 2 shows a stately of the machine tool centre.The Y-axis of the machine is formed by 4 hardened and ground steel slide-ways, which are fixed to the cast iron base of the machine. A table, which slides on low-friction strips can be moved to the left or right to form the X axis, by a repulse. The Z-axis of the machine is formed by a cast iron column, which is bolted to the rear and upper surface of the base. This axis is moved and controlled in the same way as the X and Y axes.The head of the machine comprises the tool spindle, which is holdn via a pair of pulleys, a belt and an electric motor. A tacho-generator attached to the motor is used to control the spindle speed. An encoder driven by a belt around the spindle is used to control the spindle position and penchant. Inside the spindle is a draw-bar with a spring (a stack of Belleville washers), which holds a tool in the spindle. A tool can be ejected from the spindle by activating a hydraulic cylinder above the spindle.This machining centre also consists of a tool transfer system and a 150 tool store is located to the right of the machine cell. The tool comprises 5 disks, attached to a vertical shaft, from which 30 tools can be hung. This shaft can be indexed to present a tool on each of the disk to the tool and horizontally between the spindle and the disks. On t his mechanism is a pair of grippers, which holds a tool when being transport between the tool store and the spindle. 112.1.1 Wadkin V4-6 Coolant systemCoolant systems are used in various application to pump liquids to cool and lubricate work pieces and acidulated tools. The main objectives of the coolant system used for this application were to-Prevent tool, work piece and machine components over heating.Increase tool life by reducing cutting forces.Improve surface finishHelp clear swarf from the cutting areaThe cutting tool coolant system as shown in the schematic plot Figure 1, comprises of two reservoirs each having a capacity of 39 litres located at either side of the machine base. The motor driven pump is controlled by nitty-gritty of a switch on the pendant control panel and can be switched off if coolant is not required for particular operations. The coolant pump motor on this machine cannot be switched on or off by means of programmed commands. Coolant is pumped via sole noid operated valves and a manually operated flow control/shut-off valve to the coolant outlets at the spindle nose.With the coolant pump motor running, coolant is turned on or off by SOV12 (flood coolant) and SOV51 (inducer coolant) which are energised or de-energised by programmed demands. Coolant flow is manually regulated by means of the flow control/shut-off belt located on the machine guard. Used cutter coolant drains back to the reservoirs where wire-mesh strainers prevent the ingress of large particles of swarf. A replaceable wire gauze filter is fitted to the pump opening.The electrical system required to operate the pump motor and the two solenoids operated flow control valves comprises of three relays activated by command from the controller. These connect the flow control valve solenoids to the 110V AC supply and the pump motor to the 415V AC three phase supply.2.1.2 Coolant systems component specificationsTable 1 Wadkin V4/6 Coolant systems component specificationsLab el as on diagramComponentDescription1Reservoir2 tanks each of 39 litres capacity. Grating prevents ingress of large swarf2FilterWire gauze filter attached to pump inlet3Pump / MotorGraham Precision pump, CPP 76. 3 phase AC motor, 2900 rpm, 1.1kw. Pump single stage peripheral impeller type. Maximum flow rate 11.6 lit/min.4Pressure relief valveMechanical operated set at 4.8*105 N/m25Manual shut-off tapManual tap6Flow control valvesSolenoid operatedReason for analysing coolant pump signalsA large amount of data obtained from the Wadkin machine tool has already been group and processed into various charts and histograms for the ease of the analysis in previous research. The aim was to facilitate the research into machine tool condition monitoring system. Among the 160 enter failures between a certain period of time, 84% fall within 18 pre-classified machine locations. Among these recorded failures coolant system being one of the 18 locations, ranks no. 3 in the failure frequency by ma chine location histogram 10. Therefore applying modern signal processing techniques to these particular signals was considered to be a good approach to identify any faults within the component.Device(s) for acquiring signalsThe raw data extracted from the coolant system were the pressure and flow signals. These signals were acquired by using flow and pressure transducers committed to the system and a data acquisition system was used to store these signals in a database for further analysis. The Kobold flow meters and switches types VKM have a spring-loaded float, which slides within a cylindrical measuring tube and has an integral orifice. This type of flow meter is a low cost flow meter and switch, which fully compensates for viscosity and to large extent for density even with very low flows.Wadkin V4/6 Spindle systemHe hardened steel spindle is supported in the head casting by two pairs of pre-loaded angular contact bearings. The spindle is driven by a D.C. electric motor via fixe d pulleys and a wide poly-vee belt, and has a speed range of 40-5000 rev / min. Figure 3 shows the schematic diagram of the spindle drive system. The analyses and modelling of this is very similar to the feed drive mechanism, however it does not include any linear movement and is subjected to a distributing torque proportional to cutting force components. 12 The spindle, which is fastened into the head of the machine tool, is shown in figure 9.1. It has two bearings at both the go and bottom of the shaft, together with seals to retain the grease either side of each set of bearings. On the top of the spindle is a pulley, which is driven via poly-vee belt ad a pulley attached to the spindle motor, which is shown in figure 9.2.To measure the speed of the spindle and its orientation at low speeds, an incremental encoder is positioned towards the side of the spindle. This is driven from a pulley fixed to the spindle, toothed belt and a pulley attached to the encoder as shown in figure 9 .3. In figure 9.4 and exploded view of the drawbar, which is fitted into the spindle, is shown. It uses a stack of Billeville washers, which are used to draw a tool into the spindles taper.Reason for analysing spindle vibration signalsThe bearings in the spindle system can fail fue to overload, misalignment, insufficient lubrication and assembly defects. Condition monitoring of these bearing is therefore very critical to the machining process.Spindle systems component specificationDevice(s) for acquiring signalsThe vibrations from main spindle bearings were measured by using two accelerometers mounted on the head of the machine tool as shown in figure 4. Two ENDEVCO model 5216-100 series piezoelectric accelerometers were used, which are designed specifically for vibration measurement in rugged environments of industrial machinery. These type of accelerometers have very wide dynamic range and an extremely low noise floor. 12Data Acquisition System (DAS)A flexible and generically appl icable data acquisition system has been developed at Cardiff University for the machine tool condition monitoring. This system can be viewed as a data logger associated to one or more sensors. Its tractableness allows the addition of any data logging software, hardware or sensor(s) to be linked for the analysis of different machine components when required. The DAS is controlled by a relational database management system (DBMS). The DMBS provides a user interface to specify the details of the condition monitoring tests to be performed 13.2.2 Water treatment plant (WRAP rig)2.2.1 BackgroundThe WRAP (Water and Resources Action Program) rig is a test rig set-up at Cardiff University used for research purposes. It is housed in a small container for it to be transported easily to plants or sites for demonstration purposes. The rig is designed to allow a direct performance comparison between two different types of filtration media. This rig was specifically used to demonstrate the perfor mance of Recycled Glass Media (RGM) compared to the conventional filtration media such as sand. In previous research this rig has been used to process wash imbibe water from a dairy production line while its sister rigs were used for different applications such as the removal of bio fouling and other wastes. The figure below shows the WRAP rig along with the individual constituents that make up the rig.Functionality of the rigThis explanation of the rig is based on the detailed piping and instrumentation diagram of the rig shown in figure x. The rig consists of four 6-staged impeller centrifugal pumps P1, P2, P3 and P4 as indicated in the diagram with P1 being disconnected as there was no away open reservoir in operation. Pumps P2 and P3 transfer unprocessed liquor to filters F1 and F2 from tank T1. This relationship / process can be altered using valves V8, V9 and V10 for operational flexibility if required.The two pneumatically actuated diaphragm valves V5A and V5B, which are co ntrolled by the programmable logic controller (PLC) enables the flow to be selected from either the unprocessed effluent stream entryway F1 or F2. The PID (Proportional Integral Derivative) loop also maintains the flow rate into each filter at a pre-programmed set point. The flow transmitters FT1 and FT2 were controlled to provide a 0-10V output to the invertors, which controlled pumps P2 and P3. This was achieved via the PID loop algorithm in the PLC.The analysis of this report only studies a small part of the WRAP rig, which is shown in figure x below. Two Cylon UC32.24 PLCs networked using a branded serial protocol controlled the system. These in turn were networked to a communications module, which contained a GSM modem and features two RS232 ports for connection to external devices. Chemwatch, Cylons proprietary SCADA system was used for three original operation of the rig. The system was configured to display two process mimic screens that showed real time values of the vari ous sensor readings. A number of alarm and control screens were also present allowing a privileged operator to alter alarm thresholds, control parameters and manually turn over system components such as pumps.WRAP rig system componentsPump P3Data acquisition system (KTP)Ball valves Flow transmitters