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    Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 145 ):;issue: 001:;page 11006-1
    Author(s): Schueller, Alexandra; Saldaña, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Tool condition monitoring (TCM) has become a research area of interest due to its potential to significantly reduce manufacturing costs while increasing process visibility and efficiency. Machine learning (ML) is one ...
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    An Adaptive Geometry Transformation and Repair Method for Hybrid Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 001:;page 11006
    Author(s): Praniewicz, Maxwell; Kurfess, Thomas; Saldana, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hybrid manufacturing has become particularly attractive for refurbishing of high-value freeform components. Components may experience unique geometric distortions and/or wear-driven material loss in service, which require ...
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    Structure and Deformation of Gradient Metal Foams Produced by Machining 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 007:;page 71009
    Author(s): Qiao, Haipeng; Murthy, Tejas G.; Saldana, Christopher
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: The effects of surface structure on mechanical performance for open-cell aluminum foam specimens were investigated in the present study. A surface gradient for pore structure and diameter was introduced into open-cell ...
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    A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 011:;page 0110815-1
    Author(s): Kurfess, Thomas R.; Saldana, Christopher; Saleeby, Kyle; Dezfouli, Mahmoud Parto
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Digital manufacturing technologies have quickly become ubiquitous in the manufacturing industry. The transformation commonly referred to as the fourth industrial revolution, or Industry 4.0, has ushered in a wide range of ...
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    Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 024 ):;issue: 002:;page 24502-1
    Author(s): DeVol, Nathaniel; Saldaña, Christopher; Fu, Katherine
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Machine condition monitoring has been proven to reduce machine downtime and increase productivity. The state-of-the-art research uses vibration monitoring for tasks such as maintenance and tool wear prediction. A less ...
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    The Effect of Laser Cutting Heuristic Presentation Modality on Design Learning 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 011:;page 111402-1
    Author(s): Schauer, Anastasia M. K.; Bhatt, Ritesh J.; Saldaña, Christopher; Fu, Katherine
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The goal of this work is to study the way student designers use heuristics to effectively design for laser-cut manufacturing methods. With the recent advent of academic makerspaces, digital fabrication tools like laser ...
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    Process-Structure-Property Relationships of Laser Powder Bed Fusion Lattice Structures 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 009:;page 91007-1
    Author(s): Jost, Elliott W.; Pegues, Jonathan; Moore, David; Saldaña, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Lattice structure metamaterials offer a variety of unique and tailorable properties, yet industrial adoption is slowed by manufacturability and inspection-related difficulties. Despite recent advances in laser powder bed ...
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    Tribological Performance of Textured Surfaces Created by Modulation-Assisted Machining 

    Source: Journal of Tribology:;2018:;volume( 140 ):;issue: 006:;page 61704
    Author(s): Tock, Andrew; Gandhi, Rahul; Saldana, Christopher; Iglesias, Patricia
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Methods for scalable surface texturing continue to receive significant attention due to the importance of microtextured surfaces toward improving friction, wear, and lubrication ability of mechanical devices. Controlled ...
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    Scalability Testing Approach for Internet of Things for Manufacturing SQL and NoSQL Database Latency and Throughput 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 006:;page 60901
    Author(s): Gamero, David;Dugenske, Andrew;Saldana, Christopher;Kurfess, Thomas;Fu, Katherine
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The proliferation of lowcost sensors and industrial data solutions has continued to push the frontier of manufacturing technology. Machine learning and other advanced statistical techniques stand to provide tremendous ...
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    Data-Driven Approaches for Bead Geometry Prediction Via Melt Pool Monitoring 

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 009:;page 91011-1
    Author(s): Alexander, Zoe; Feldhausen, Thomas; Saleeby, Kyle; Kurfess, Thomas; Fu, Katherine; Saldaña, Christopher
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the realm of additive manufacturing, the selection of process parameters to avoid over and under deposition entails a time-consuming and resource-intensive trial-and-error approach. Given the distinct characteristics ...
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