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This paper provides a general review of automated processing methods currently being used to fabricate aircraft composite structure.

Presents a description of the Automated Tape Layer (ATL) process and the Fiber Placement (FP) process. These processes are the most “automated” of all processes being used to fabricate composite aircraft structure. Fiber Placement machines and Automated Tape Layers are composites machine tools and they are the closest comparison the composites industry has to metals machining equipment.

There is a need for more variety of composites automation and more affordable machines in the aerospace composites industry. The limited variety of automation and the cost of equipment tend to limit the spread of automation throughout the aerospace composites industry. ATL and FP are composites laminating technologies that could be adapted to a wide range of machine sizes, configurations, and price ranges.

More widespread use of automated processes in composites would tend to lower the cost of composite aircraft structure on a global basis.

A review of state‐of‐the‐art technology pertinent to tape automated bonding (for fine pitch, high I/O, high performance, high yield, high volume and high reliability) is presented. Emphasis is placed on a new understanding of the key elements (for example, tapes, bumps, inner lead bonding, testing and burn‐in on tape‐with‐chip, encapsulation, outer lead bonding, thermal management, reliability and rework) of this rapidly moving technology.

Sacrificial opaque overlays used in laser peening provide optimal processing and protect the surface of the part being processed from thermal damage from the laser pulses. Traditional solid film overlays for laser peening often require several applications and the running of multiple partial laser peening sequences in order to completely process the desired surface. This paper aims to discuss an automated overlay system that eliminates these issues.

LSP Technologies' (LSPT') patented RapidCoater™ automated overlay system provides optimal laser processing and surface protection by providing a conformal opaque layer that is automatically refreshed between each laser pulses. PLC control provides precise timing of the application of the process overlays in synchronization with the laser pulse.

Use of the RapidCoater system has been shown to reduce processing time by up to five times when compared to using tape overlays. Cost reductions of about 40 percent are also achieved.

LSPT, Inc. invented and developed this proprietary technology to provide its laser peening customers with higher productivity and improved process affordability.

This research provides fundamentals for generating (partially) automated standardized due diligence reports. Based on original digital building documents from (institutional) investors, the potential for automated information extraction through machine learning algorithms is demonstrated. Preferred sources for key information of technical due diligence reports are presented. The paper concludes with challenges towards an automated information extraction in due diligence processes.

The comprehensive building documentation including n = 8,339 digital documents of 14 properties and 21 technical due diligence reports serve as a basis for identifying key information. To structure documents for due diligence, 410 document classes are derived and documents principally checked for machine readability. General rules are developed for prioritized document classes according to relevance and machine readability of documents.

The analysis reveals that a substantial part of all relevant digital building documents is poorly suited for automated information extraction. The availability and content of documents vary greatly from owner to owner and between document classes. The prioritization of document classes according to machine readability reveals potentials for using artificial intelligence in due diligence processes.

The paper includes recommendations for improving the machine readability of documents and indicates the potential for (partially) automating due diligence processes. Therefore, document classes are derived, reviewed and prioritized. Transaction risks can be countered by an automated check for completeness of relevant documents.

This paper is the first published (empirical) research to specifically assess the automated digital processing of due diligence reports. The findings are helpful for improving due diligence processes and, more generally, promoting the use of machine learning in the property sector.

This paper discusses how minor counterproductive workplace behavior (CWB) scripts can be acquired or learned through automated processes from one employee to another.

This research is based on insights from social information processing and automated processing.

This paper helps explain the automated learning of minor CWBs from one’s coworkers.

While some employees purposefully engage in counterproductive workplace behaviors with the intent to harm their organizations, other less overt and minor behaviors are not always carried out with harmful intent, but remain counterproductive, nonetheless. By understanding how the transfer of minor CWBs occurs, employers can strive to set policies and practices in place to help reduce these occurrences.

This paper discusses how negative workplace learning can occur. We hope to contribute to the workplace learning literature by highlighting how and why the spread of minor CWBs occurs amongst coworkers and spur future research focusing on appropriate interventions.

Presents an overview of automated fabric flaw detection immediately after the knitting process. Considers the classification of fabric flaws and how image processing techniques can be applied to their classification, via an introductory example. Outlines problems associated with automating this inspection process and discusses possible flaw sensing systems and techniques.

The purpose of the paper is to investigate the enhancement of resource sharing with a state-of-the-art transportation system in a large open distance learning (ODL) institution in South Africa. The University of South Africa (UNISA) is an ODL institution, and it has the largest academic library of its kind in Africa. The University is acknowledged as one of the mega-universities of the world with a student body approaching 400 000. In addition to providing an inter-lending service to this large student body and to 3,000 staff, the UNISA Library is a net-lender within South Africa’s inter-lending and resource sharing network. The Library’s inter-lending service forms part of the request services available to all its clients and to the wider community of participating libraries. Daily, an average of 2000 requests is received for processing, retrieval and delivery. This paper provides a brief overview of how the Library’s request service is managed and will discuss the technologies used to speed up the request process. It focuses on an automated radio frequency identification (RFID) transportation system to be implemented as part of the 21st century, newly redesigned UNISA Library. To ensure the speedy availability of material on the shelves after return, this system automatically transports materials via a Paternoster book lift to the respective levels within the Library.

The methodology used in this investigation encompassed a literature study and a study visit to a library where this automated delivery system had been implemented and information was gained from relevant service suppliers.

The UNISA Library found that it is feasible to use the system in terms of the large number of books to be transported from drop-off points to the respective levels. In accordance with the investigation of the number of trolleys to be pushed daily by staff from one point to another, the installation of an automated system will allow more time for shelf maintenance staff to attend to the processing of requests for material and other important but less urgent duties. This will impact positively on the speed of delivery of requests submitted by ODL clients who cannot visit the libraries together with those submitted by local and international inter-library loan partners who depend on the UNISA Library as a net-lender for material not available in their own collections. This will impact positively on availability of material on the shelves and the speed of delivery of requests for information resources submitted by ODL clients who cannot visit the ODL libraries and inter-library loan partners, nationally and internationally, who depend on the UNISA Library as a net-lender for material not available in their own collections.

Because rapid delivery of requested information resources has become very important to ensure just in time information, it is important to implement an internal delivery system to support the inter-lending process. This study is useful for libraries that need to deliver many physical items to a large client body.

The initial excitement over increased solder joint densities, higher manufacturing throughput, and superior electrical performance brought forth by surface mount technology (SMT) has been replaced by frustrations over lower yields and the inherent difficulties of inspecting hidden solder joints. In the plated through hole (PTH) process, rework and inspection tasks were not only relatively easier tasks, but also less costly. The high cost of inspecting and reworking SMT assemblies dictates a rethinking of the assembly process. Increasing first time yields becomes the key to reducing SMT inspection and rework costs. In a high volume facility, a 100% visual inspection process is not feasible because of the high cost of inspection and rework. However, if a company intends to remain competitive, inspection and rework must be reduced without a sacrifice to final product quality. Realising that it is not possible to ‘inspect’ quality into a product, improved yield must result from a controlled process environment. By maintaining a controlled environment, one will be provided with lower inspection costs, lower rework costs, lower scrap and, in the final analysis, improved product quality. At the heart of any process control environment should be a real‐time process control system designed specifically to accommodate SMT process defects. Process monitoring is accomplished by locating and identifying SMT process flaws. These flaws will then be reported to a host system for statistical analysis. These are statistical data used to make timely adjustments to the various stages of the assembly process in a real‐time manner. Being able to monitor the production process objectively in real time, and detect hidden flaws accurately, are the keys to having a successful process inspection system. Automated X‐ray Inspection is gaining acceptance as a viable process monitoring tool, capable of detecting and reporting SMT process flaws, including those hidden flaws not reported with typical visual inspection systems. The purpose of this paper is to show how an Automated X‐ray Inspection system can be integrated into the SMT production process as a cost‐effective method for improving SMT yield.

A useful potential application of additive manufacturing (AM) techniques is in automated assembly of existing discrete parts via printing of new material onto two or more parts simultaneously to form joints between them. The purpose of this paper is to explore the concept of extrusion-based AM for automated assembly, examine potential concerns and perform validation to test the feasibility and value of such an assembly method.

To validate the theory and address potential concerns, six factorial-designed sets of joined ABS, PETG and PLA samples were manufactured and tensile tested. Each set contained two replications of four samples and was a unique part-joint material combination. To better interpret the results, a new static material characterization was completed on the materials used, as well as joint tests using four mechanical and chemical methods for each material. In total, 69 test articles were examined.

The tests showed that the joints were effective and strong, even under the inherently eccentric geometry. While there was some variance between replications, in almost every case, the AM joints were found to be equal or superior to those made by traditional methods. ANOVA showed variance in which factors were significant between sets, but all cases were shown to satisfy the Fisher Assumptions at a significance of a = 0.10.

This paper develops and validates a new application of extrusion-based AM. When developed further, this application is expected to increase the commercial application range and industrial efficiency of fused deposition modeling and AM in general. The results of this study should provide a link between traditional automated assembly methods and AM. This paper also provides some original AM material characterization data and observations on material behavior under eccentric loading.