“…Hintze et al [21], in 2018, have considered support structure removal and simultaneous hole nishing by helical milling. The ndings indicate that the unsteady engagement conditions during support machining induce tool vibrations and lead to surface damages of the hole.…”
Section: Removal Including Machining Timementioning
Metal additive manufacturing is an active eld of innova-tion, but for Selective Laser Melting (SLM), supports removal is a major constraint. For this technology, supports are strongly welded to the part, to tightly maintain the part and avoid distortion and also to evacuate the thermal load. Supports are usually optimized for their manual removal but machining is often applied and need to be more often used in order to improve post-processing produc-tivity. This paper proposes a full methodological approach to optimize the selection of the cutting parameters, cutting tools and the type of supports itself. The aim is to help the additive manufacturer to nd among the numerous wide supports designs, the ones that would reduce the cost of machining, in terms of machining time and cutting tools degradation. This approach can also be used for the optimization of the design of lattice structures for their structures. Our results show that among the 11 designs tested, the honey-comb and squared pattern grid supports are the most e ciently machined, using the 8 teeth tangential milling among the 3 tools tested, with a good post machined surface roughness and tool's health. The method takes into account low magni cation optical analysis and an accelerometer sensor, easy to use even for SME. This paper also proposes and analyzes with this method a new kind of porous support.
“…Hintze et al [21], in 2018, have considered support structure removal and simultaneous hole nishing by helical milling. The ndings indicate that the unsteady engagement conditions during support machining induce tool vibrations and lead to surface damages of the hole.…”
Section: Removal Including Machining Timementioning
Metal additive manufacturing is an active eld of innova-tion, but for Selective Laser Melting (SLM), supports removal is a major constraint. For this technology, supports are strongly welded to the part, to tightly maintain the part and avoid distortion and also to evacuate the thermal load. Supports are usually optimized for their manual removal but machining is often applied and need to be more often used in order to improve post-processing produc-tivity. This paper proposes a full methodological approach to optimize the selection of the cutting parameters, cutting tools and the type of supports itself. The aim is to help the additive manufacturer to nd among the numerous wide supports designs, the ones that would reduce the cost of machining, in terms of machining time and cutting tools degradation. This approach can also be used for the optimization of the design of lattice structures for their structures. Our results show that among the 11 designs tested, the honey-comb and squared pattern grid supports are the most e ciently machined, using the 8 teeth tangential milling among the 3 tools tested, with a good post machined surface roughness and tool's health. The method takes into account low magni cation optical analysis and an accelerometer sensor, easy to use even for SME. This paper also proposes and analyzes with this method a new kind of porous support.
“…It has a higher working temperature, better fracture toughness, a higher fatigue limit, better corrosion resistance, and improved welding performance compared to Ti-6Al-4V; therefore, it is widely used in the aerospace industry to manufacture load-bearing parts with complex structures that are expected to work in medium to high temperature conditions (up to 500 ), whereas Ti-6Al-4V has a significantly reduced lifetime in such working environments [26]. It is widely accepted that using L-PBF to manufacture TA15 products can help to optimize the complex structure and improve the buy-to-fly ratio [27,28], but due to this being an emerging research topic, related understanding is still limited. Jiang et al [4] obtained almost fully dense (99.98 %) L-PBF TA15 testing samples, and their strength ductility combination was improved by heat treatment (800 °C/2 h/WC).…”
Section: Laser Powder Bed Fusion (L-pbf) Is a New Type Of Additive Ma...mentioning
“…Manufacturers are interested in these plates because of their attractive corroding resistance and rustproof finish attributes among others (Chennaiah et al, 2016b;Srivastava and Garg, 2017). However, they have a significant shortcoming during boring activities (Chern and Liang, 2007;Patel and Deshpande, 2014;Vaishnav and Sonawane, 2014;Hintze et al, 2018;Kumar et al, 2018;Izelu et al, 2019;Biju and Shunmugam, 2019;Liu et al, 2019;Klein et al, 2020;Lotfi et al, 2020;Lawrance et al, 2020a,b). Huge boring operations are necessary to convert these plates into different components in the aforementioned industries (Patel and Deshpande, 2014).…”
This paper establishes how the process engineer in a machine shop could capture the uncertainty and the transition of process parameters to improve the surfaced finish of bored work material (carbon steel IS 2062 GR E250 plates) and select the best parameters to achieve the aim. The fuzzy analytic hierarchy process method incorporating geometric mean and a novel Markov chain oriented weightage scheme were used as inputs into three multicriteria methods of weighted sum model (WSM), weighted product model (WPM) and weighted product model and weighted aggregated sum-product, assessment (WASPAS) model. Published literature data were used to validate the methods and their integrations. The novel Markov chain model borrows ideas from the orthogonal array, random number generation and the transition states of parameters. Finally, the optimal parametric setting idea is used to interprete the final results based on an initial response table determination, which are the averages of the signal-to-noise ratios summarized. The most important results are obtained from the fuzzy AHP-Markov WASPAS method. These are the feed parameter (preference score of 1.624) as the best parameter and the depth of cut with the preference score of 1.188 as the worst parameter. The findings indicate that process engineers should attach the most important interest to the feed rate as it is the most effective controlling parameter of surface finish during the boring operation of carbon steel IS 2062 GR E250 plates. Machining shops can employ the framework to evaluate and predict system performance before financial resource commitment to operations.
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