<p>This study examined the influence of surface roughness on oxide layer formation during annealing in an atmospheric controlled isothermal tube furnace for austenitic AISI 304L and ferritic AISI 430 as well as the pickling efficiency of neutral electrolyte pickling. Surface pretreatment prior to annealing consisted of electropolishing, mechanical polishing, and grinding. Annealing was performed at 1,150&#xa0;°C/3&#xa0;min and 1,050&#xa0;°C/3&#xa0;min for the austenitic and ferritic stainless steels, respectively. The pickling conditions were kept constant to evaluate the residual oxide layers after descaling between the different surface conditions. Surface roughness was measured as the surface average <i>R</i><sub><i>a</i></sub>. Oxide layer characterization was performed with FESEM–EDS and GDOES. Pickled sample surfaces were analyzed using 8-bit grayscale image processing to evaluate pickling efficiency from FESEM images taken from the descaled areas. The results showed that the progression of the oxide layer and its composition formed during annealing are influenced by the surface conditions of the stainless steels. The higher <i>R</i><sub><i>a</i></sub> on both materials increased the breakaway oxidation by increasing the formation of Fe-rich oxides on the surface. Pickling efficiency was also affected by surface conditions, and the best results were achieved from the lower <i>R</i><sub><i>a</i></sub>.</p>

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Impact of Initial Surface Roughness on Oxidation and Pickling Response of AISI 304L and 430

  • Janne Mörttinen,
  • Susanna Airaksinen,
  • Teemu Tuovinen,
  • Ulla Lassi

摘要

This study examined the influence of surface roughness on oxide layer formation during annealing in an atmospheric controlled isothermal tube furnace for austenitic AISI 304L and ferritic AISI 430 as well as the pickling efficiency of neutral electrolyte pickling. Surface pretreatment prior to annealing consisted of electropolishing, mechanical polishing, and grinding. Annealing was performed at 1,150 °C/3 min and 1,050 °C/3 min for the austenitic and ferritic stainless steels, respectively. The pickling conditions were kept constant to evaluate the residual oxide layers after descaling between the different surface conditions. Surface roughness was measured as the surface average Ra. Oxide layer characterization was performed with FESEM–EDS and GDOES. Pickled sample surfaces were analyzed using 8-bit grayscale image processing to evaluate pickling efficiency from FESEM images taken from the descaled areas. The results showed that the progression of the oxide layer and its composition formed during annealing are influenced by the surface conditions of the stainless steels. The higher Ra on both materials increased the breakaway oxidation by increasing the formation of Fe-rich oxides on the surface. Pickling efficiency was also affected by surface conditions, and the best results were achieved from the lower Ra.