6 research outputs found
Recommended from our members
Control Parameters and Materials Selection Criteria for Rapid Prototyping Systems
Since the introduction ofrapid prototyping technology as a tool for time
compression and concurrent engineering in the design and manufacturing process, many
enhancements and refinements have been made based on the experience ofusers and
manufacturers ofrapid prototyping equipment. These improvements contribute
significantly to faster production of quality output from rapid prototyping systems.
There are diverse control and material selection parameters that affect prototype
models built using the Fused Deposition Modeling (FDM®) process. This paper reviews
the role of several ofthese parameters in the process. Data will be presented to help the
user choose the appropriate material for specific applications including density, tensile
stiffhess, flexural stiffhess, tensile strength, flexural strength, tensile ductility, shock
resistance, and hardness.Mechanical Engineerin
Recommended from our members
FDM® Technology Process Improvements
Since the introduction ofrapid prototyping technology as a tool for time compression and concurrent engineering in
the design and manufacturing process, many enhancements and refinements have been made based on the experience
of users and manufacturers of rapid prototyping equipment. These improvements contribute significantly to faster
production of quality output from rapid prototyping systems.
There are diverse control and material selection parameters that affect prototype models built using the Fused
Deposition Modeling (FDM®) process. This paper reviews the role of several of these parameters in the process.
Data will be presented to help the user choose the appropriate material for specific applications including density,
tensile modulus, flexural modulus, tensile strength, flexural strength, impact strength, and hardness.
The integration of material, hardware, and software in the FDM technology begins with the understanding of the
basic requirements ofthe machine and ends with an operating procedure to choose the parameters for optimal model
output and efficiency. Some of the variables include: part geometry, deposition geometry, deposition speed,
liquefier temperature, material, flow control parameters, etc. Designed experiments are used in material formulation
through modeling parameter defmition activitiesMechanical Engineerin