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In this paper , to support the goal of manufacturing parts right the first time , a Bayesian network in continuous domain is developed which relates four process parameters ( laser power , scan speed , hatch spacing , and layer thickness ) and five part quality characteristics ( density , hardness , top layer surface roughness , ultimate tensile strength in the build direction and ultimate tensile strength perpendicular to the build direction ) .
 support, manufacturing, domain, process parameters, laser power, scan speed, hatch spacing, layer thickness, quality, density, hardness, layer, roughness, ultimate tensile strength, build direction, ultimate tensile strength, build direction
Please list all entity words in the text that fit the category. Output format is "word1, word2". 
Option: manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle 
Text: {0} 
Answer:
 support, manufacturing, domain, process parameters, laser power, scan speed, hatch spacing, layer thickness, quality, density, hardness, layer, roughness, ultimate tensile strength, build direction, ultimate tensile strength, build direction