ProgramMaster Logo
Conference Tools for 2022 AWS Professional Program
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting 2022 AWS Professional Program
Symposium 2022 AWS Professional Program
Presentation Title Hybrid Manufacturing: Combining Additive Friction Stir Deposition, Metrology, and Machining
Author(s) Ross Zameroski, Joshua Kincaid, Sudarsanam S (Suresh) Babu, Tony Schmitz
On-Site Speaker (Planned) Ross Zameroski
Abstract Scope Introduction: Aerospace flight panels must provide high strength with low mass. For aluminum panels, it is common practice to begin with a wrought plate and remove the majority of the material by machining to reveal the desired thin rib, light weight structure. As an alternative, this study implements hybrid manufacturing, where aluminum was first deposited on a thin baseplate only at the rib locations using additive friction stir deposition (AFSD). Structured light scanning was then used to measure the printed geometry. The printed geometry was finally used as the stock model for computer numerically controlled (CNC) machining. This paper details the hybrid manufacturing process that consists of AFSD to print the preform, structured light scanning to generate the stock model and tool path, three-axis CNC machining, and post-process measurements. Experimental procedures: To represent an aerospace flight panel, a ribbed structure with a center hole and boss was designed. The preform was fabricated using a MELD Manufacturing L3 additive friction stir deposition machine to deposit 6061-T6 aluminum onto a 6061-T6 aluminum baseplate. The total thickness of the multi-layer deposition was approximately 12 mm. The printed preform was measured using a GOM ATOS Q structured light scanner. The scan model was imported into computer-aided manufacturing (CAM) software, where it was used as the stock model for toolpath generation. The scan model was aligned with the computer-aided design (CAD) model of the ribbed aerospace panel and the coordinate system was assigned using the corner of the baseplate. To select optimal machining parameters, the frequency response functions (FRFs) of each cutting tool were measured using impact testing. Here, a modal hammer (PCB model 086C04) was used to excite the tool tip and the response was measured by a low-mass accelerometer (PCB model 352C23). The FRFs were used to generate stability maps, which enabled the selection of optimal, stable machining parameters. Once the machining parameters and toolpaths were selected, the preform was clamped to the table of a Haas VF-4 three-axis CNC milling machine. The part was then probed with the machine’s touch trigger probe to locate the part and align the machine coordinate system with the CAM coordinate system using a coordinate rotation. Facing, contour milling, and boring operations were all implemented to create the ribbed structure with a hole and boss in the center. Results and discussion: Each step in the hybrid manufacturing process was completed with the expected results. The AFSD toolpaths deposited material in the desired locations on the baseplate. The structured light scan provided a stock model for the CAM software that was used to set a coordinate system and define the toolpaths required to remove the excess material. Stable machining conditions were observed using the optimized parameters obtained from tap testing. In summary, the structured light scanning strategy to provide a CAM stock model and local coordinate system was successfully implemented. To confirm the machined part geometry, measurements were completed using the structured light scanner. The scan results were compared to the CAD model by creating a best fit alignment and observing the differences. The alignment showed a maximum deviation of 0.25 mm. One potential cause of these deviations is from the release of internal stresses during the machining process. In follow-on testing, measurements will be performed before deposition, after deposition, and after machining to record any part distortion. Conclusions: This paper describes the combination of AFSD, structured light scanning, and CNC machining in a hybrid manufacturing scenario. The demonstration part is an aluminum aerospace flight panel, although the material and application are not limited to this domain. The AFSD material demonstrated machinability similar to wrought aluminum. The structured light scanning procedure provided an accurate stock model for the CAM software, while also ensuring the desired part geometry was contained within the printed preform. Tool tip FRF measurements enabled the selection of optimal machining parameters. Post-process measurements were used to compare the final part with the intended CAD design. Ultimately, this work demonstrates a hybrid manufacturing approach that leverages AFSD, metrology, and machining to provide a new option for the production of aerospace flight panels, as well as other metallic components traditionally obtained from wrought plate, castings, or forgings.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

2020 Thomas Medal Presentation: Keeping Pace with Change
Addressing Materials Challenges and Other Barriers to the Future of Additive Manufacturing
An AI-based Vision Methodology for Self-guided Seam Tracking in Gas Metal Arc Welding
An Investigation into the Effects of Stir Zone Chemistry on Fracture Toughness in Friction Stir Welded Pipeline Grade Steel
Analysis of Temperature and Velocity Fields in the GTAW Arc for Argon
Application of Polarity Switching Capacitor Discharge Welding to Aluminum Sheet Structures
Buried Arc GMAW for Single Pass Single Sided Erection Joints onboard Ships
Carbonitride Development and Heat Treatment Response of Additively Manufactured 17-4 PH Stainless Steel with Variations in Composition
Characterization of Dissimilar Materials 410 Martensite Stainless Steel and Mild Steel Component Produced by Wire Arc Additive Manufacturing
Deleterious Phase Avoidance in Additively Manufactured Functional Gradients through Path Planning
Developing an Automated Defect Detection TIG Welding Robot with a future Adaptive Implementation
Development of a Temperature-Dependent Material Property Database for DH36 Steel
Droplet Temperature in GMAW
Effect of Composition on Solidification Behavior and Resultant Microstructure in Dissimilar Electron Beam Welds between Commercially Pure Iron and Nickel
Energy Balance in Gas Metal Arc Welding
Evaluating the Carbide Precipitation Behavior During Short Term Tempering and its Influence on Impact Toughness.
Evaluation of Spatter Production with Deep Learning Algorithms
Evolution of Analytical Modelling Approaches for Resistance Spot Welding: A Historical Perspective
Fatigue Properties of Dissimilar Aluminum to Steel Welds Joined by Ultrasonic Interlayered Resistance Spot Welding Process
Hardness Prediction by Incorporating Heat Transfer and Molten Pool Fluid Flow in a Multi-pass, Multi-layer Weld for Onsite Repair of CSEF Grade 91 Steel
High Speed Video (HSV) and Synchronized Data Acquisition (DAQ) to Observe Welding Process Stability
How to Accurately Monitor the Weld Penetration from Dynamic Weld Pool Serial Images using CNN-LSTM Deep Learning Model?
Hybrid Manufacturing: Combining Additive Friction Stir Deposition, Metrology, and Machining
IIW Commission I Activities on Additive Manufacturing
Impact of Beam Deflection on Porosity during Keyhole Mode Laser Welding of Aluminum Alloys
In-situ Liquid Nitrogen Cryogenic Cooling for Interpass Control in High-Duty Cycle Wire Arc Additive Manufacturing of Large Components for Navy Applications
Influence of Microstructure on the Mechanism of Hydrogen-assisted Cracking in Dissimilar Metal Welds for Refinery Application
Integrated Modeling of Defect Formation during Deep Penetration Laser Welding of Creep Resistant Nickel Base Alloys
Investigation of Fe-10 wt.% Ni Steel Weld Metal Hydrogen Induced Cracking Susceptibility using the Gapped Bead on Plate (GBOP) Test
Large-Scale Hybrid Manufacturing using Wire Arc Additive Manufacturing
Machine Learning-based Process Characterization and Efficient Adaptive Control in Robotic Arc Welding
Material Characterization of Grade 91 Steel Welds using Micro-resolution Ultrasonic Imaging System.
Mechanical Design and Development of a Five Degree-of-Freedom TIG Welding Robot
Meta-Analysis of Fatigue Properties in Additively Manufactured 316L Austenitic Stainless Steel
Micro Cross Weld Tensile Testing of Dissimilar Metal Welds using Digital Image Correlation
Micro GTAW Applied to a Battery Pack for Racing Applications
Microstructure and Mechanical Properties of Electron Beam Additively Manufactured Ti-6Al-4V
Optimizing Productivity of Hyper Duplex Stainless Steels Overlay while Avoiding Sigma Phase Formation
Phase Transformation Behavior of Fe-10wt.% Ni Steel Weld Metal
Predicting Operation Windows for High-Frequency Induction Aluminum Tube Welding through Machine Learning
Process-Feature-Microstructure-Property Relationships for A9628 Directed Energy Deposition Additive Manufactured Steel Components
Real-Time Recognition of Arc Weld Pool Using Image Segmentation Network
Role of Standards in Welding Safety
Scaling Analysis of Thermal and Mechanical Process in Friction Stir Welding
The Effects of Post-Weld Processing on Friction Stir Welded Additive Manufactured AlSi10Mg
The Influence of Boride Phase Transformations on Heat-Affected Zone Liquation Cracking Susceptibility in Laser Welded 304L Stainless Steel
The Influence of Dynamic Behaviors Characteristics of Molten Pool on the Weld Formation during the High Speed Laser Welding
The International Institute of Welding: Strategic Directions for Welding and Joining Research and Industrial Applications
Use of Low Transition Temperature Steel Alloys In Welded Overlays for High Wear Applications
Welding Investigation of Wrought FeMnAl Steel
WeldVac – A Quiet, Clean Metal Removal System

Questions about ProgramMaster? Contact programming@programmaster.org