Abstract:The use of cutting fluids in machining operations is being carefully scrutinized by industry for several reasons, including its overall cost in the manufacturing process and its impact on worker health. Given the concerns associated with the use of cutting fluids, a number of experimental and analytical research efforts are being conducted to gain an understanding of the role of these fluids in various machining processes. The knowledge gained by this research will aid in the development and implementation of … Show more
“…The manufacture of fasteners involves seven important industrial processes, including the wire drawing, forming, threading, cleaning, heat treatment, surface treatment, and packaging and shipping. Among them mineral oil-based metalworking fluids (MWFs) are used in forming, threading, heat treatment processes for cooling, lubricating, and corrosion inhibition purposes and hence might result in the emission of oil mist to the workplace atmosphere and lead to the exposures of workers [1,2].…”
“…The manufacture of fasteners involves seven important industrial processes, including the wire drawing, forming, threading, cleaning, heat treatment, surface treatment, and packaging and shipping. Among them mineral oil-based metalworking fluids (MWFs) are used in forming, threading, heat treatment processes for cooling, lubricating, and corrosion inhibition purposes and hence might result in the emission of oil mist to the workplace atmosphere and lead to the exposures of workers [1,2].…”
“…(53−58) The type of MWF being used, the presence or absence of additives to reduce misting, the type of machining operations being performed, and the amount of general and local exhaust ventilation employed at the facility all affect the amount of MWF mist generated and released into the employee's breathing zone. Various studies indicate some of the important factors that influence mist generation, including tool spindle speed; (57,58) size and location of the workpiece; (57) speed, feed rate, and depth of cut; (57) pressure of the applied fluid; (58,59) and the proximity of the tool to the part. (59) Due to the complexity of the metalworking fluid environment, a comprehensive systems approach using a combination of fluid management and effective engineering controls has received widespread acceptance.…”
Three studies were performed to assess the effectiveness of various techniques to control metalworking fluid (MWF) mist. The studies consisted of a detailed main study that determined the effect of degree of enclosure on personal exposures and area concentrations of MWF mist on two machining transfer lines. One ancillary study was conducted to determine the effect of shutting off MWF delivery during down time; the second ancillary study investigated the effectiveness of improved retrofitted enclosure. In the main study, the two operations were identical except for degree of enclosure. Personal and area sampling results for the new line were about half those found in the old line. Measurements at the new operation exhibited significantly less variability. Personal exposures and area concentrations were significantly less at the new operation than at the older, less enclosed operation, demonstrating that the total enclosure in the new operation provides better and more consistent control of the mist. The first ancillary study was conducted to determine if shutting off MWF delivery to the parts being machined reduced area MWF mist concentration during downtime at a partially enclosed transfer machining line. A significant reduction in concentration of 80% was measured with machining off/MWF off. Mist concentrations measured with machining off/MWF on were not significantly different from mist levels measured during machining on/MWF on. The second ancillary study investigated the reduction of mist concentration achieved through improved enclosure of an existing set of machines. Area mist concentrations were measured at a machining operation before and after the installation of an improved enclosure. Area mist concentrations were reduced by 87% with the improved enclosure.
“…Manufacturing fasteners involves seven processes, including the wire drawing, forming, threading, cleaning, heat treatment, surface treatment, and packaging and shipping. Mineral oil-based metal working fluids (MWFs) are involved in the forming, threading, heat treatment for cooling, lubricating, and corrosion inhibition purposes, and hence might result in the exposures of workers to oil mists (Thornburg and Leith, 2000;Michalek et al, 2003). Among these workplaces, the threading was found with the highest exposure level (Chen et al, 2007).…”
Collecting multiple and long-term samples is necessary to accurately describe the exposure profile of a similar exposure group (SEG), but only a few industries can afford to do this because of the costs and manpower needed. In the present study, measured oil mist concentrations (C m , n = 11) were randomly collected on eleven days during one year (serving as the likelihood distribution in Bayesian decision analysis (BDA)), and daily fastener production rates (Pr, n = 250) were used as a surrogate for predicting the yearlong oil mist exposure concentrations (C p ) (serving as the prior distribution in BDA). The resulting BDA posterior distributions were used to assess the long-term oil mist exposures to threading workers in a fastener manufacturing industry. The feasibility of the proposed methodology was finally examined with reference to the effects of the sample size of the C m . The results show that threading workers experienced more severe thoracic and respirable oil mist exposure than exposure to the inhalable fraction. Using Pr as a surrogate was adequate to explain ~92% of the variations in C m . By combining C p and C m , our results suggest that the BDA technique adopted in this work was effective in predicting workers' long-term exposure. By judging the consistency of the resulting posterior exposure ratings, this study suggests that the proposed methodology could be feasible, even when the sample size of C m is set as low as 3.
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