Rapid qualification of area array package assemblies by increase of ramp rates and temperature ranges
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Availability of board solder joint reliability information is critical to the wider implementation of Chip Scale Packages (CSPs).
Availability of board solder joint reliability information is critical to the wider implementation of Chip Scale Packages (CSPs).
One drawback to using constraint-propagation in planning and scheduling systems is that when a problem has an unsatisfiable set of constraints such algorithms typically only show that no solution exists. While, technically correct, in practical situations, it is desirable in these cases to produce a satisficing solution that satisfies the most important constraints (typically defined in terms of maximizing a utility function). This paper describes an iterative constraint relaxation approach in which the scheduler uses heuristics to progressively relax problem constraints until the problem becomes satisfiable. We present empirical results of applying these techniques to the problem of scheduling spacecraft communications for JPL/NASA antenna resources.
The popularity of emerging miniaturized Chip Scale Packages (CSPs) is rapidly growing because of their benefits and smaller size.
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CubeSats have developed rapidly over the past decade with the advent of a containerized deployer system and ever increasing launch opportunities. These satellites have moved from an educational tool to teach students about engineering challenges associated with satellite design, to systems that are conducting cutting edge earth, space and solar science. Early variants of the CubeSat had limited functionality and lacked sophisticated attitude control, deployable solar arrays and propulsion. This is no longer the case and as CubeSats mature, such systems are becoming commercially available. The result is a small satellite with sufficient power and pointing capabilities to support a high rate communication system. Communications systems have matured along with other CubeSat subsystems. Originally developed from amateur radio systems, CubeSats have generally operated in the VHF and UHF bands at data rates below 10 kbps (kilobits per second). More recently higher rate UHF systems have been developed, however these systems require a large collecting area on the ground to close the communications link at 3 Mbps (megabits per second). Efforts to develop systems that operate with similar throughput at S-Band (2-4 GHz (gigaherz)) and C-Band (4-8 GHz (gigaherz)) have also recently evolved. In this paper we outline an effort to develop a high rate CubeSat communication system that is compatible with the NASA Near Earth Network and can be accommodated by a CubeSat. The system will include a 200 kbps (kilobits per second) S-Band receiver and a 12.5 Mbps (megabits per second).X-Band transmitter. This paper will focus on our design approach and initial results associated with the 12.5 Mbps (megabits per second) X-band transmitter.
Different aspects of advanced surface mount package technology have been investigated for aerospace applications. Three key areas included the assembly reliability of conventional Surface Mount, Ball Grid Arrays (BGAs), and Chip Scale Packages.
Availability of board solder joint reliability information is critical to the wider implementation of Chip Scale Packages (CSPs).
Different aspects of advanced surface mount package technology have been investigated. Three key areas included the assembly reliability of conventional Surface Mount (SM), Ball Grid Arrays (BGAs), and Chip Scale Packages (CSPs).
The JPL-led MicrotypBGA Consortium of enterprises representing government agencies and private companies have joined together to pool in-kind resources for developing the quality and reliability of chip scale packages (CSPs) for a variety of projects.
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The National Aeronautics and Space Administration’s (NASA) Space Communication and Navigation (SCaN) program intends to deliver operationally ready commercial space-based communications relay services to missions by 2031. The high-throughput, demand-responsive networks that commercial providers are building and operating will remove long-standing network constraints, enhancing mission capability and data-return.
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