bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solar PV Power Generation Forecasting and O&M Management Applications: A Review
Authors: Zhang Chen , Yang Tao , Gao Wei , Wang Yong 
Published: November 2019

Abstract
The growing resource shortage and environmental concerns have forced mankind to develop and utilize renewable energy sources. The penetration of solar photovoltaic (PV) power in the electricity market has been increasing over the past few decades due to its low construction costs, zero pollution nature, and enormous support from governments. However, the intermittency and randomness of PV power also cause huge grid fluctuations which limit its integration in the system. An accurate forecasting of solar PV power generation and optimization of operation and maintenance (O&M) management are essential for further development of the solar PV farms.
A great number of related researches have been done in recent years. A review of PV power generation forecasting techniques together with their brief applications on the optimization of O&M management is presented in this paper. Machine learning methods are thought to be the most suitable at the present stage because of their ease of implementation and their capability in processing non-linear, complex data sets. Typical forecasting accuracy measures are summarized and further applications of PV power forecasting on the O&M management are also presented.
Development of a Pilot Manufacturing Cyberinfrastructure With an Information Rich Mechanical CAD 3D Model Repository
Authors: Bharadwaj Akshay , Xu Yang , Angrish Atin , Chen Yong , Starly Binil 
Published: November 2019

Abstract
Data driven advanced manufacturing research is dependent on access to large datasets made available from across the product lifecycle — from the concept design phase all the way down to end use and disposal. Despite such data being generated at a rapid pace, most product design data is archived in inaccessible silos. This is particularly acute in academic research laboratories and with data generated during product design and manufacturing courses. This project seeks to create an infrastructure that allow users (academia and the general public) to easily upload project data and related meta-data. Current manufacturing research must shift from siloed repositories of product manufacturing data to a federated, decentralized, open and inter-operable approach. In this regard, we build ‘FabWave’ a cyber-infrastructure tool designed to capture manufacturing data. In its first pilot implementation, we focused our attention to gathering information rich 3D Mechanical CAD data and related meta-data associated with them, with the intent to make it easier for users to upload and access product design data. We describe workflows that we have initially tested out within the two academic universities and under two different course structures. We have also developed automated workflows to gather license appropriate CAD assemblies from commercial repositories. Our intent is to create the only known largest available CAD model set within academia for enabling research in data-driven computational research in digital design, fabrication and quality control.
Study on Selective Electroless Plating of 3D Printed Counter Electrodes for Dye-Sensitized Solar Cells
Authors: James Sagil , Parikh Karan 
Published: November 2019

Abstract
Dye-Sensitized solar cells (DSSC) are considered to be the replacement for traditional silicon solar cells. DSSCs have been noticed widely due to its simplified material handling, easy fabrication, durability and their ability to perform better under diverse lighting conditions. However, there are significant challenges that are faced by DSSCs such as lower efficiency, chemical instability, and leakage of the electrolyte under high-temperature conditions. The fabrication of counter electrodes for DSSCs require the use of expensive materials and techniques which increases the cost as well as limits mass production. These limitations can be addressed through a cost-effective fabrication process for counter electrodes of DSSCs. This research focuses on enhancing the conductivity and catalytic activity of the counter electrodes of DSSCs through a novel selective electroless plating technique. The proposed selective electroless plating technique helps to overcome the issues of high cost, toxicity, and complex manufacturing processing of conventional DSSC. Moreover, the fabrication of the DSSC is supplemented using additive manufacturing technology. The technique further helps to enhance the performance, provide excellent design flexibility while reducing the manufacturing cost. The results of the study show selective electroless plating is an effective technique for the fabrication of low-cost counter electrodes for DSSCs. The efficiencies of the DSSC are comparable with DSSC fabricated through conventional expensive and toxic materials.
An Experimental Study on Direct Current Dieless Drawing of 4130 Steel Tubes
Authors: Nikhare Chetan P. , McMahon Paul , Aqlan Faisal 
Published: November 2019

Abstract
Forming of tubes in various shapes has been a major interest in vehicle, instrumentation, decoration and precision industries. Due to a variety of shapes that can be achieved by tube forming, this manufacturing process has taken a major part in research and application. In this manufacturing process, a tube with a certain diameter and thickness can be considered to shape the part. The shaping or forming can be achieved by end forming, expanding the section, bending the section, buckling the tube, and/or reducing the section. Traditionally, to form these sections the rigid tool, flexible tool or fluid pressure would be needed to shape the tube. However, tools like mandrel or plug and their sizes limit the size of the tube to be formed. In this paper, tubes are formed by stretching them while simultaneously passing the direct current through. This process has been explored earlier by heating the tube using induction heating or rotary laser heating method. However, as no dies or tools are used to form these tubes, the process is considered dieless tube drawing which involves heating the tubes and drawing them into a reduced section. This study considers two different thicknesses but the same outer diameter tubes. The drawing force, shape, and microstructure are investigated. Based on the stress-strain curve, the yield to fracture and tensile to fracture strains are determined and discussed.
Human-Robot Collaboration for Disassembly Line Balancing Problem in Remanufacturing
Authors: Liu Bin , Xu Wenjun , Liu Jiayi , Yao Bitao , Zhou Zude , Pham Duc Truong 
Published: November 2019

Abstract
Remanufacturing is able to reduce the environmental pollution and the manufacturing cost by recycling the end-of-life products. Disassembly is a critical step for the production process of remanufacturing. Traditional disassembly process is finished by either manual disassembly that has low efficiency or robotic disassembly that has low flexibility. Human-robot collaboration for disassembly integrates the advantages of manual disassembly and robotic disassembly, which has both high efficiency and high flexibility. For the design step of human-robot collaborative disassembly line, how to balance the human-robot collaboration workstation is an important optimization objective. The major difference between the human-robot collaboration for disassembly line and the traditional disassembly line is that it is necessary to ensure safety of the operator. This paper develops a set of models for the human-robot collaboration for disassembly line balancing problem, and the task classification and the allocation of human-robot collaborative disassembly are conducted. In order to ensure the safety of human-robot collaboration in disassembly, the safety strategy between the operator and the robot is considered in disassembly workstations. Subsequently, human-robot collaboration for disassembly line balancing problem with three objectives is solved by an improved discrete bees algorithm. Finally, the case studies based on disassembling bearing parts are conducted to verify the proposed method.
Multiphase Flow Distribution in MQL Drilling Using Optical Intensity Distribution Based Approach
Authors: Raval Jay K. , Hung Wayne N. P. , Tai Bruce L. 
Published: November 2019

Abstract
Oil flow distribution in Minimum Quantity Lubrication (MQL) plays an important role in the efficiency of machining processes, but it remains challenging to measure experimentally. This paper presents a new method to measure the oil flow distribution in through-channel drill bits based on the reflected light intensity. Measurements were conducted from multiple angles in order to map the flow distribution across the channel cross-sectional area. The method is applied to drill bits of a circular cross-section channel and two helix angles, 0° and 30°. The results show that, for the 0° helix angle channel, the oil concentrates near the periphery of the channel, while for 30° helix angle channel, the oil concentrates towards the center of the drill point. Furthermore, Computational Fluid Dynamics (CFD) simulation was conducted to compare with the measurement results, and it was observed that the oil distribution is correlated to the velocity field. Oil flow concentration is high in low velocity regions. Though preliminary, this study has concluded that the velocity field generated using single-phase CFD is a critical indicator for oil distribution in an MQL flow.
Development of a Multi-Directional Metal 3D Printing System Based on Direct Metal Deposition
Authors: Gao Shiming , Liao Wei-Hsin , Guo Ping 
Published: November 2019

Abstract
Process parameters, including deposition direction, are crucial in direct metal deposition (DMD) for microstructure formation and mechanical properties of the final part. Multi-directional deposition along with in-situ deposition control can minimize deposition anisotropy and improve dimensional accuracy. In this paper, a DMD system is developed to achieve multi-directional metal deposition by using 6 degree-of-freedom (DOF) motion of the workpiece platform rather the laser head for a highly compact design. An in-situ control strategy with two independent loops of laser focus and power is developed to control the printing process based on the feedback from real-time melt pool geometry and intensity. Experimental results have shown that the laser focus and power control can significantly improve geometrical accuracy and reduce heat accumulation. In addition, system kinematics are derived and verified for the 6-DOF hexapod to achieve multi-directional deposition. Oblique structures have been successfully printed to demonstrate the effect of optimized build direction.
A Novel Material Point Method Based Needle-Tissue Interaction Model
Authors: Li Murong , Lei Yong 
Published: November 2019

Abstract
Needle-tissue interaction model plays an important role in virtual surgery training, pre-intervention planning and intra-intervention guidance. Traditionally, finite element methods (FEM) had been a primary and popular way for simulation modeling. However, FEM, as a mesh-based numerical calculations, is likely to encounter numerical difficulties due to mesh distortion as needle insertion process includes damage, fracture and penetration. In this work, a novel material point method (MPM) based needle-tissue interaction model is proposed, which combines the advantages of Lagrangian and Euler methods. A simplified contact algorithm and friction model are integrated to calculate contact forces as well as the resultant tissue deformations. Both preliminary contact forces and deformation results are compared with test experiments, which show that the maximum and mean displacement errors are 0.9768mm and 0.5134mm, respectively while the mean relative errors of force is 14%. This preliminary result demonstrates that MPM has great potential in needle-tissue interaction modeling.
Modeling and Analysis of Multi-Product Manufacturing Systems With Two Machines and One Buffer
Authors: Huang Jing , Chang Qing , Arinez Jorge 
Published: November 2019

Abstract
The ability to process multiple product types is an important criterion for evaluating the flexibility of a manufacturing system. The system dynamics of a multi-product system is quite distinct from that of a single-product system. A modeling method for the multi-product system is proposed based on dynamic systems and flow conservation. Based on the model, this paper places its emphasis on the analysis of a two-machine-one-buffer system with two product variants. The system performance measure of a multi-product system is proposed based on production orders. The system performance of two-machine-one-buffer systems is discussed in full details. The conditions for the system achieving the best performance are derived. Finally, several numerical experiments are conducted to validate the propositions on two-machine-one-buffer system.
The Development of a Microscale Tube Hydroforming Test Bed and Novel Sealing System: A Work in Progress
Authors: Emblom William J. , Olayinka Ayotunde , Wagner Scott W. 
Published: November 2019

Abstract
A microscale/multiscale tube hydroforming system including tooling and controls is being designed and implemented at the University of Louisiana at Lafayette as part of a collaborative effort with Michigan Technological University. The sealing system demonstrates the evolution of the flared tube ends approach for tube end sealing to a spherical metal-on-metal sealing system. One of the features of the tooling is that while the tooling is capable of producing microscale hydroforming, the entire system can now be made using conventional CNC machining operations. Preliminary work has begun for implementing control of the hydroforming process using a PLC and a custom built continuous high pressure system capable of 415 MPa is described. Preliminary results for formed sample tubes are discussed.
Experimental Investigation of Stratasys J750 PolyJet Printer: Effects of Finish Type and Shore Hardness on Dimensional Accuracy
Authors: Wei Xingjian , Thakare Ketan , Zeng Li , Pei Zhijian 
Published: November 2019

Abstract
The J750 PolyJet printer is the newest model of full-color and multi-material 3D printer from Stratasys. Currently, limited information is available about the effects of control factors on dimensional accuracy of parts printed by this printer. In this study, the effects of two control factors, finish type and Shore hardness, on dimensional accuracy are investigated. The results suggest that both control factors significantly affect dimensional accuracy. Specifically, samples printed with glossy finish exhibit more accurate dimensions than those with matte finish, and larger Shore hardness value leads to better dimensional accuracy. These results would be valuable to researchers and practitioners who use the J750 3D printer.
Extrusion-Based 3D Printing of Porcelain: Feasible Regions
Authors: Bhardwaj Abhinav , Kalantar Negar , Molina Elmer , Zou Na , Pei Zhijian 
Published: November 2019

Abstract
3D printing processes have found several applications in automobile, aerospace, and biomedical industries. Recent development of large-scale 3D printing processes has fueled applications in the construction industry. Materials such as ceramic clay (porcelain) can now be used in additive manufacturing (AM). However, information regarding the effect of process parameters on part quality is limited. There is a need to study the effects of various parameters on the successful printing of samples for the construction industry. This paper presents an experimental study to determine the feasible parameter regions for extrusion-based 3D printing of porcelain using a Delta WASP 2040 Clay printer. The printing parameters studied are extruder height, layer thickness, print speed and air pressure. The effects of these parameters on the surface quality of the printed samples are examined. The identified feasible parameter regions from this study would provide preliminary insights on material extrusion-based 3D printing of porcelain.
Investigating Microstructural Changes and Phase Transformation During Slot Milling of Ti-6Al-4V in Dry, Flood Coolant and MQL Conditions
Authors: Khatri Ashutosh , Jahan Muhammad P. , Chen Xingbang , Ma Jianfeng 
Published: November 2019

Abstract
The objective of this study is to investigate the microstructural changes and phase transformation of chips and workpiece during slot milling on Ti-6Al-4V alloy in dry, flood coolant, and MQL conditions using uncoated carbide tools. The experiments were performed at varying feed rate and depth of cut with a fixed cutting speed of 50 m/min. The microstructures of the machined chips indicate that dry machining had the highest percentage of β-phase indicating higher phase transformation owing to higher tool temperature. The β-phase was found to be the least in MQL machining chips, which is very similar to the microstructural composition of un-machined surface. Although there were signs of phase transformation, there were very minimal changes in phases in the workpiece for all three machining conditions. In many cases, no change or slight decrease in β-phase was observed at the sub-surface, indicating thermal softening of the workpiece, especially in dry machining. The findings from this study confirm the fact that, high temperature close to beta transition temperature is generated during dry machining of titanium alloy, and most of heat is carried away by the chips resulting in phase transformation from alpha to beta phase in chips. However, no significant phase changes occurred into the microstructure of the workpiece in any condition, although minor thermal softening was found at the sub-surface of dry machined workpiece.
Nucleation and Boundary Layer Growth of Shear Bands in Machining
Authors: Yadav Shwetabh , Sagapuram Dinakar 
Published: November 2019

Abstract
An experimental study of shear band formation in cutting of metals is made using a low melting point Bi-based alloy as a model material system. High-speed imaging is used to capture the transition in the plastic flow, from laminar to shear banded flow, as a function of cutting speed. The dynamics of shear band nucleation is captured in situ and temporal evolution of localized plastic flow during shear band growth is quantitatively analyzed using an image correlation method, particle image velocimetry (PIV). The observations show that shear band nucleation is governed by a critical shear stress criterion, and accompanied by a large drop in the flow viscosity by several orders of magnitude, analogous to the phenomenon of yielding in yield-stress (Bingham) fluids. Likewise, the displacement field around a freshly nucleated shear band evolves in a manner resembling the boundary layer formation in planar flow of a Bingham fluid with a very small viscosity. Surprisingly, temperature has little influence on shear band nucleation or growth.
Experimental and Simulation Study of Single Point Incremental Forming of Polycarbonate
Authors: Rai Saurabh , Kumar Rakesh , Nirala Harish Kumar , Francis Kevin , Agrawal Anupam 
Published: November 2019

Abstract
Single point incremental forming (SPIF) is more accurate and economical than the conventional forming process for customized products. Majority of the work in SPIF has been carried out on metals. However, polymers are also required to shape. Polycarbonate has wide application in safety glass, bottles, automotive and aircraft industry due to its transparent as well as attractive processing and mechanical properties as compared to other polymeric plastics. In present work, the Polycarbonate (PC) sheet of thickness 1.8 mm is deformed to make a square cup at different angles. Tensile testing is done to analyze the effect of wall angle on the deformed cup. This work illustrates the effect of the SPIF process on material strength in a different directions (vertical and horizontal) of the final deformed product. Tool forces are evaluated using ABAQUS® simulation for SPIF. Numerical simulation approach is used to calculate the fracture energy, which utilizes the force-displacement curve of the specimen and is verified.
Towards Remote Teleoperation of a Semi-Autonomous Mobile Manipulator System in Machine Tending Tasks
Authors: Annem Vivek , Rajendran Pradeep , Thakar Shantanu , Gupta Satyandra K. 
Published: November 2019

Abstract
Increasing the level of automation in material handling tasks in small volume production operations can improve human productivity and overall manufacturing system performance. In this paper, we present a teleoperated mobile manipulator system that can be used for tending machines and transporting parts in manufacturing applications. The remotely located human operator can interact with the semi-autonomous mobile manipulator by giving it high level instructions. We have incorporated several sensors on the system to ensure safe teleoperation where the operator gives only high level motion goals to the mobile manipulator, such as waypoints for mobile base motion, and interactive marker poses for the manipulator motion. The point clouds from multiple depth cameras are used for mapping the environment. The robot plans for autonomous motions between the given way-points ensuring that the resulting motions are collision-free. We have conducted case studies with two different types of parts to be extracted from a 3D printer. The system is tested by multiple users. They were successful in completing tasks in a reasonable amount of time using our interface.
Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments: Workshop on June 21, 2018
Authors: Raman Arvind Shankar , Harper Dustin , Haapala Karl R. , Linke Barbara S. , Bernstein William Z. , Morris KC 
Published: November 2019

Abstract
A workshop on Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments, jointly sponsored by the U.S. National Science Foundation, the U.S. National Institute of Standards and Technology, ASTM International, the American Society of Mechanical Engineers, and the Society of Manufacturing Engineers, was held in College Station, Texas on June 21, 2018. The goals of the workshop were to identify research needs supporting manufacturing process characterization, define limitations in associated education practices, and emphasize on challenges to be pursued by the advanced manufacturing research community. An important aspect surrounded the introduction and development of reusable abstractions of manufacturing processes (RAMP), which are standard representations of unit manufacturing processes to support the development of metrics, methods, and tools for the analysis of manufacturing processes and systems. This paper reports on the workshop activities and findings, which span the improvement of engineering education, the understanding of process physics and the influence of novel materials and manufacturing processes on energy and environmental impacts, and approaches for optimization and decision-making in the design of manufacturing systems. A nominal group technique was used to identify metrics, methods, and tools critical to advanced manufacturing industry as well as highlight the associated research challenges and barriers. Workshop outcomes provide a number of research directions that can be pursued to address the identified challenges and barriers.