Using cutting fluids in machining with petroleum-based creates health hazards issues to the machining operator and environmental problems due to the waste. One effort to reduce it is by applying minimum quantity lubrication (MQL). This research aims to develop an MQL system with an Arduino controlled based on the previous design. The main hardware was changed, i.e., pump, power supply, nozzle, sensor, and temperature setting changed from 70°C to 150°C. The fluid consumption was measured in machining with a depth of cut of 2.3 mm and 2.5 mm and cutting liquid composition of 3:7 and 7:3 (water to dromus cutting fluid). The calculation showed that cutting fluid consumption is mostly more than 1000 ml/h, or it has not achieved a maximum of 500 ml/h. However, compared to the previous design, it has reduced up to half of the former scenario. From the tool deterioration perspective, the depth of cut of more than 2.0 mm results in severe tool deterioration in the form of chipping. The higher the depth of cut, the intense the tool deteriorated. For the next design, we should add an air compressor in the MQL system and solenoid(s) to regulate the spraying.
Romi Violeta is one of the furniture companies in Indonesia. There are several production machines that are used and in the process are interconnected. The production machines used often experience downtime or machine failure, one of which is the spindle moulder machine. Spindle moulder is a cutting machine used to cut wood with various profiles as needed. Damage to the spindle moulder machine can cause the production process to stop, so that downtime will increase and the production target that has been set will be reduced. To maintain the working condition of the machine so that it can last a long time and run optimally, the initial step is in the form of scheduling maintenance. RCM is a maintenance strategy to optimize the company's asset maintenance program so that it can operate effectively. This research method uses quantitative analysis conducted on the spindle moulder machine and qualitative analysis includes FMEA and RCM II Decision Worksheet which will be used as references to identify component failures and determine appropriate maintenance actions. Based on the research results, the availability value for the spindle bearing component is 99.72%, the motor component is 99.78%, and the v belt component is 99.77%, so the average availability value is 99.76%. The value of downtime after preventive maintenance using the RCM method on the spindle moulder machine is 43.54 hours with a decrease in machine downtime of 30.96 hours or equivalent to 41.55%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.