本研究之目的為瞭解船舶焊接作業勞工可能暴露之焊接燻煙微粒與反應性氧化物種之逸散特徵並進一步應用於預測模式。主要研究內容可分為兩部分：(1)實驗室模擬焊接作業，本部分工作為建立金屬燻煙暴露腔，以船舶製造業最主要之二種焊接方法(包藥電焊(FCAW)與氣體金屬電弧焊(GMAW))，在三種不同焊材型號(KFX-71T、KFX-70T及KM-56)及三種不同操作條件(低電流及電壓(120 A, 22 V)、中電流及電壓(220 A, 26 V)及高電流及電壓 (300 A, 30 V))下，進行模擬焊接作業，以探討燻煙微粒之逸散特徵（粒徑分佈與濃度）及反應性氧化物種濃度之變化情形。(2)實際焊接作業之量測，經由勞工進行實際焊接作業，以比較利用模式所預測結果之差異。研究結果顯示：(1)本研究所探討之燻煙粒徑皆以單峰分佈為主，其粒徑範圍為0.33 – 0.57μm。而粒徑大小則受到所使用之焊接方法、操作電流與遮蔽氣體之不同有所差異，焊接方法以FCAW大於GMAW，操作電流越高其粒徑越大，遮蔽氣體中含有惰性氣體者會有較大之粒徑，另外燻煙中所含金屬之粒徑分佈，則以Pb的粒徑最大。(2)造成焊接燻煙之逸散濃度之差異，亦是受到不同之焊接方法、操作電流與遮蔽氣體而影響總燻煙與燻煙中金屬濃度之高低，分別以FCAW、高電流與含惰性氣體者之濃度較大。(3)焊接燻煙微粒之ROS濃度，研究結果顯示FCAW所產生之濃度高於GMAW且高電流亦有較高之濃度產生，發現ROS濃度會受到焊接時所需之輸入能量影響。(4)本研究利用近場/遠場模式預測燻煙之逸散濃度與實測值進行比較，發現對於NF之預測值與實測值有較大之誤差並有高估之現象，而對於FF之預測則有較佳之預測結果且其結果與實測值接近。

The objective of this study was to characterize welding fume and ROS emitted from different welding processes and parameters and apply above results to predit. A metal fume chamber was established to simulate two major welding processes (including flux core arc welding (FCAW) and gas metal arc welding (GMAW)) and three operating conditions of the low input power (120 A, 22 V), optimal input power (220 A, 26 V) and high input power (300 A, 30 V) for shipbuilding industries. It is also to measure welding fume concentration of worker during real operation and to compare the predited value. The results show that (1) the particle size distributions for both FCAW and GMAW (MMAD= 0.33–0.57 μm) were unimode. The particle size distributions were affected by welding method, input power and shielding gas. The MMAD of FCAW, high input power and inert gases were the geater than others. The MMAD of Pb was greater than of Cr, Cu, Fe, Mn and Ni; (2) total fume and metal concentration were found a similar consistent trend as: FCAW > GMAW, high input power > optimal input power > low input power and inert gases > oxygoen gases; (3) ROS concentrations were found with a similar consistent trend as than of fume. The difference between these parameters resulted from the input power. (4) using N/F model (Near field/Far field model) to predict by applying these data from the metal fume chamber and comparing with the value of measuring real operative situation, these results showed that predicted value of NF was greater than measuring value and FF has a better prediction than of NF.

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