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首页> 外文期刊>Materials & design >Lubricant migration on stainless steel induced by bio-inspired multi-scale surface patterns
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Lubricant migration on stainless steel induced by bio-inspired multi-scale surface patterns

机译:受生物启发的多尺度表面图案引起的不锈钢上的润滑剂迁移

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摘要

This manuscript aims at investigating the spreading dynamics of an additive-free Poly-(alpha)-olefin (PAO) oil on stainless steel surfaces (AISI 304) having multi-scale surface patterns with and without an applied temperature gradient. For this purpose, single-scale patterns were fabricated by micro-coining, direct laser interference patterning and ultrashort-pulse laser patterning. In a second step, multi-scale patterns were realized by superimposingmicro-coined surfaces with the respective laser patterns. In order to precisely adjust the temperature gradient and to study the lubricant'smigration on the patterned surfaces, a specially designed test rig was used. Experiments without temperature gradient demonstrated a preferential lubricant spreading parallel to the pattern for all samples. In this context, the multi-scale samples showed a faster lubricant spreading compared to the single-scale patterns, which can be attributed to additional capillary forces and an increased roughness. In case of an applied temperature gradient, purely micro-coined samples showed an increased rate of lubricant spreading compared to the other single-scale samples due to the larger volume to surface area ratio. The multi-scale surfaces demonstrated again the fastest lubricant spreading, which clearly underlines the ability to actively guide lubricant by multi-scale patterning. (C) 2018 Elsevier Ltd. All rights reserved.
机译:该手稿旨在研究无添加剂的聚α-烯烃(PAO)油在具有和不具有施加的温度梯度的多尺度表面图案的不锈钢表面(AISI 304)上的扩散动力学。为此,通过微压印,直接激光干涉图案和超短脉冲激光图案制作了单尺度图案。在第二步骤中,通过将微压印表面与相应的激光图案叠加来实现多尺度图案。为了精确调节温度梯度并研究润滑剂在有图案的表面上的迁移,使用了专门设计的测试装置。没有温度梯度的实验表明,对于所有样品,润滑剂均优先于图案平行分布。在这种情况下,与单比例模式相比,多比例样品显示出更快的润滑剂铺展,这可以归因于额外的毛细作用力和增加的粗糙度。在施加温度梯度的情况下,由于体积与表面积之比较大,因此与其他单比例样品相比,纯微硬币样品显示出更高的润滑剂扩散速率。多尺度表面再次展示了最快的润滑剂涂抹速度,这清楚地表明了通过多尺度图案主动引导润滑剂的能力。 (C)2018 Elsevier Ltd.保留所有权利。

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