PREDICTIVE DEFECT MODEL FOR HIGHLY PRODUCTIVE LASER POWDER BED FUSION ADDITIVE MANUFACTURING

    公开(公告)号:US20240390984A1

    公开(公告)日:2024-11-28

    申请号:US18323875

    申请日:2023-05-25

    Abstract: This disclosure is directed to a method for modeling additive manufacturing of a part, including a number of steps. The steps include constructing a model for estimating output of a simulated additive manufacturing process, followed by entering process operating parameters for an additive manufacturing system into the model to produce an output. The output is compared to acceptance criteria to determine whether the output is acceptable or unacceptable. Next regions of operating parameters that support production of the part with acceptable quality characteristics are determined based upon the output. Regions of operating parameters that support production of the part with acceptable quality characteristics are added to a process map for additive manufacturing the part. The steps are repeated for different operating parameters until the process map is complete.

    SELECTIVE HEAT TREATMENT OF METALS USING A COIL-IN-FURNACE SYSTEM

    公开(公告)号:US20240254589A1

    公开(公告)日:2024-08-01

    申请号:US18162861

    申请日:2023-02-01

    CPC classification number: C21D9/68 C21D1/42 C22F1/10

    Abstract: The present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals. More particularly, the present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals using a coil-in-furnace configuration. A hybrid modeling-test approach can be used in the design process to improve or optimize the process parameters to achieve location specific and improved/optimal microstructure and residual stress to enhance the part performance. It is also noted that performing the selective heat treatment in a single step can reduce the cycle time significantly. Moreover, large thermal gradients can be avoided in the part as different volumes of the part are heated to their desired temperature simultaneously.

    SYSTEM AND PROCESS FOR VERIFYING POWDER BED FUSION ADDITIVE MANUFACTURING OPERATION AS BEING DEFECT FREE

    公开(公告)号:US20210334685A1

    公开(公告)日:2021-10-28

    申请号:US16859349

    申请日:2020-04-27

    Abstract: A method of evaluating an additive manufacturing process includes receiving a set of additive manufacturing parameters and an additive manufacturing part design at an analysis module, receiving a set of random values at the analysis module, determining a probability distribution of stochastic flaws within a resultant additively manufactured article using at least one multidimensional space physics model, and categorizing the additive manufacturing part design as defect free when the probability distribution is below a predefined threshold. Each value in the set of random values corresponds to a distinct variable in a set of variables. Each variable in the set of variables at least partially defines at least one of an uncontrolled additive manufacturing parameter and an uncontrollable additive manufacturing parameter.

    UNCERTAINTY QUANTIFICATION OR PREDICTIVE DEFECT MODEL FOR MULTI-LASER POWDER BED FUSION ADDITIVE MANUFACTURING

    公开(公告)号:US20240390983A1

    公开(公告)日:2024-11-28

    申请号:US18201787

    申请日:2023-05-25

    Abstract: A process for uncertainty quantification for a predictive defect model for multi-laser additive manufacturing of a part including executing computational fluid dynamics modeling of a gas flow in an additive manufacturing machine manufacturing chamber; assigning a spatter particle size, velocity and direction relative to a melt pool on a powder bed disposed on a build plate within the manufacturing chamber; executing computational fluid dynamics post processing for spatter particle tracking; predicting a spatter particle landing pattern; feeding the spatter particle landing pattern prediction into a defect model; producing a layer thickness map, the layer thickness map configured to demonstrate a location of locally thicker layers on the part; and predicting defect location and density to accumulate lack-of-fusion risk as a function of part placement, orientation, and scan strategy.

    SINGLE-STEP PROCESS FOR SELECTIVE HEAT TREATMENT OF METALS USING MULTIPLE HEATING SOURCES

    公开(公告)号:US20240254611A1

    公开(公告)日:2024-08-01

    申请号:US18162851

    申请日:2023-02-01

    CPC classification number: C22F1/10 C22F1/11

    Abstract: The present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals. More particularly, the present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals using multiple heating sources. A hybrid modeling-test approach can be used in the design process to improve or optimize the process parameters to achieve location specific and improved/optimal microstructure and residual stress to enhance the part performance. It is also noted that performing the selective heat treatment in a single step can reduce the cycle time significantly. Moreover, large thermal gradients can be avoided in the part as different volumes of the part are heated to their desired temperature simultaneously.

    SELECTIVE HEAT TREATMENT OF METALS USING MULTIPLE INDUCTION HEATING COILS

    公开(公告)号:US20240254578A1

    公开(公告)日:2024-08-01

    申请号:US18162860

    申请日:2023-02-01

    CPC classification number: C21D1/42 C21D11/00 C22C19/05

    Abstract: The present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals. More particularly, the present disclosure provides assemblies, systems and methods for a single-step process for selective heat treatment of metals using multiple induction heating coils. A hybrid modeling-test approach can be used in the design process to improve or optimize the process parameters to achieve location specific and improved/optimal microstructure and residual stress to enhance the part performance. It is also noted that performing the selective heat treatment in a single step can reduce the cycle time significantly. Moreover, large thermal gradients can be avoided in the part as different volumes of the part are heated to their desired temperature simultaneously.

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