Families’ engagement in making activities related to aerospace engineering: designing for parents as learning partners in pop-up makerspaces

Purpose The researchers conducted a collective case study to investigate how families engaged in making activities related to aerospace engineering in six pop-up makerspace programs held in libraries and one museum. The purpose of this paper is to support families’ engagement in design tasks and engineering thinking, three types of discussion prompts were used during each workshop. The orienting design conjecture was that discussion prompts would allow parents to lead productive conversations to support engineering-making activities. Design/methodology/approach Within a collective case study approach, 20 consented families (22 adults, 25 children) engaged in making practices related to making a lunar rover with a scientific instrument panel. Data included cases of families’ talk and actions, as documented through video (22 h) and photographs of their engineering designs. An interpretivist, qualitative video-based analysis was conducted by creating individual narrative accounts of each family (including transcript excerpts and images). Findings Parents used the question prompts in ways that were integral to supporting youths’ participation in the engineering activities. Children often did not answer the astronomer’s questions directly; instead, the parents revoiced the prompts before the children’s engagement. Family prompts supported reflecting upon prior experiences, defining the design problem and maintaining the activity flow. Originality/value Designing discussion prompts, within a broader project-based learning pedagogy, supports family engagement in engineering design practices in out-of-school pop-up makerspace settings. The work suggests that parents play a crucial role in engineering workshops for youths aged 5 to 10 years old by revoicing prompts to keep families’ design work and sensemaking talk (connecting prior and new ideas) flowing throughout a makerspace workshop.

A numerical study of vibration-induced instrument reading capability degradation in helicopter pilots

Rotorcraft suffer from relatively high vibratory levels, due to exposure to significant vibratory load levels originating from rotors. As a result, pilots are typically exposed to vibrations, which have non-negligible consequences. Among those, one important issue is the degradation of instrument reading, which is a result of complex human-machine interaction. Both involuntary acceleration of the eyes as a result of biodynamics and vibration of the instrument panel contribute to a likely reduction in instrument reading capability, affecting flight safety. Therefore, being able to estimate the expected level of degradation in visual performance may give substantial benefits during vehicle design, allowing to make necessary adjustments while there is room for design changes or when retrofitting an existing aircraft to ensure the modifications do not adversely affect visual acuity and instrument reading ability. For this purpose, simulation is a very valuable tool as a proper model helps to understand the aircraft characteristics before conducting flight tests. This work presents the assessment of vibration-induced visual degradation of helicopter pilots under vibration exposure using a modular analysis environment. Core elements of the suggested analysis framework are an aeroelastic model of the helicopter, a model of the seat-cushion subsystem, a detailed multibody model of the human biodynamics, and a simplified model of ocular dynamics. These elements are combined into a comprehensive, fully coupled model. The contribution of each element to instrument reading degradation is examined, after defining an appropriate figure of merit that includes both eye and instrument panel vibration, in application to a numerical model representative of a medium-weight helicopter.

Computer Vision Based Automatic Recognition of Pointer Instruments: Data Set Optimization and Reading

With the promotion of intelligent substations, more and more robots have been used in industrial sites. However, most of the meter reading methods are interfered with by the complex background environment, which makes it difficult to extract the meter area and pointer centerline, which is difficult to meet the actual needs of the substation. To solve the current problems of pointer meter reading for industrial use, this paper studies the automatic reading method of pointer instruments by putting forward the Faster Region-based Convolutional Network (Faster-RCNN) based object detection integrating with traditional computer vision. Firstly, the Faster-RCNN is used to detect the target instrument panel region. At the same time, the Poisson fusion method is proposed to expand the data set. The K-fold verification algorithm is used to optimize the quality of the data set, which solves the lack of quantity and low quality of the data set, and the accuracy of target detection is improved. Then, through some image processing methods, the image is preprocessed. Finally, the position of the centerline of the pointer is detected by the Hough transform, and the reading can be obtained. The evaluation of the algorithm performance shows that the method proposed in this paper is suitable for automatic reading of pointer meters in the substation environment, and provides a feasible idea for the target detection and reading of pointer meters.

Simulation and Optimization of Acoustic Package of Dash Panel Based on SEA

The instrument panel assembly is an important structure to shield powertrain noise and front wheel noise, and the instrument panel sound insulation system plays a key role in it. Therefore, the sound insulation characteristics of the instrument panel sound insulation components appear particularly important. In the existing technology, the acoustic design of instrument panel mostly adopts the reverse design method and pays little attention to the forward design of acoustic system, which tends to lead to the shortcomings such as inaccurate acoustic design and poor acoustic design quality. The reverse design also restricts the development cycle, so the control and design of acoustic performance cannot be realized in the initial stage of design. Based on the above problems, the statistical energy model of the dashboard model was established by combining the statistical energy flow method and the proxy model method, and the influences of different acoustic cladding layers, different thickness, leakage, and new material microfibers on the sound insulation parameters of the front coaming were simulated. The general rules that affect the sound insulation performance of the structure are obtained. On this basis, multiobjective genetic algorithm and proxy model method are used to optimize the insertion loss of the front panel acoustic pack and the weight of the dashboard by introducing multiobjective variable and experimental design method, so as to obtain the best solution to meet the requirements of insertion loss and lightweight acoustic pack of the dashboard. It is of great engineering significance for the development of acoustic components for forward design instrument panel.

Pilots’ Visual Scanning Behaviors During an Instrument Landing System Approach

BACKGROUND: Since eye movement can provide a reliable index of the attention allocation, which can assist in understanding pilots’ cognitive state, this study investigated the effect of pilots’ experience and the autopilot mode on their attention allocation on the Primary Flight Display (PFD) and Multi-Function Display (MFD) during an approach task.METHODS: There were 16 pilots who were classified into two levels of aviation expertise depending on the flight hours, and required to fly an Instrument Landing System approach. Their visual scanning behaviors were recorded through an eye tracker and analyzed based on fixation number and dwell time.RESULTS: The results revealed that the pilot experience level, instrument panel and autopilot mode all had significant impact on the fixation time ratio and dwell time. The pilots fixated most often on the PFD and had shorter dwell time. Furthermore, they had a lower fixation number and shorter dwell time on the PFD and MFD when the autopilot was off that they should allocate visual resources to the others (e.g., out-of-the-window) and obtain more information to maintain overall situation awareness under higher time pressure. Compared to pilots with more expertise, pilots with less expertise had an increased fixation number and decreased dwell time on the airspeed after turning off the autopilot.DISCUSSION: The present study indicated that the pilots had different visual scanning modes according to the flight mode and their experience. We expect that pilots’ visual scanning behaviors during tasks will help the training and the design of the human-machine interaction.Lu Y, Zheng Y, Wang Z, Fu S. Pilots’ visual scanning behaviors during an instrument landing system approach. Aerosp Med Hum Perform. 2020; 91(6):511–517.