Akroyd, GCenko, APiranian, AJamison, Kevin AMalcolm, T2017-11-082017-11-082017-06Akroyd, G. et al. 2017. Store separation trajectory predictions for maritime Search and Rescue (SAR). AIAA Applied Aerodynamics Conference, AIAA AVIATION Forum, Denver, Colorado, 5-9 June 2017978-1-62410-501-2https://arc.aiaa.org/doi/abs/10.2514/6.2017-3251https://doi.org/10.2514/6.2017-3251http://hdl.handle.net/10204/9747Conference paper presented at the AIAA Applied Aerodynamics Conference, AIAA AVIATION Forum, Denver, Colorado, 5-9 June 2017The Australian Maritime Safety Authority (AMSA) plans to replace Dornier 328 turboprops with Bombardier Challenger 604 special mission jets modified for search and rescue (SAR). Similarly configured CL-604 Multi-Mission Aircraft are in service with the Royal Danish Air Force. Search and Rescue (SAR) Store Separation from Turbojet Aircraft. There are several store separation challenges posed by replacing a turboprop aircraft with a turbojet. For the 328 the rear cargo door used for store separation is well clear of the engine, Figure 1. For the 604 it’s just underneath the nacelle, Figure 2. In addition, the minim airspeed at which the 604 can release stores is higher, but sill subsonic. Unlike military aircraft, Sea Air Rescue has not used wind tunnel testing, Computational Fluid Dynamics (CFD) nor Six Degree-of-Freedom (SDOF) trajectory simulations prior to flight testing. This might have been since the released stores were relatively light weight, the airspeeds low, and incidental contact with the aircraft unlikely to cause significant damage at low airspeeds. This paper will describe how SDOF trajectory simulations might be used to reduce the cost and time required to safely complete a jet SAR flight test program.enStore separationSearch and RescueTrajectory predictionsTrajectory simulationsConference PresentationAkroyd, G., Cenko, A., Piranian, A., Jamison, K. A., & Malcolm, T. (2017). Store separation trajectory predictions for maritime Search and Rescue (SAR). Aerospace Research Central. http://hdl.handle.net/10204/9747Akroyd, G, A Cenko, A Piranian, Kevin A Jamison, and T Malcolm. "Store separation trajectory predictions for maritime Search and Rescue (SAR)." (2017): http://hdl.handle.net/10204/9747Akroyd G, Cenko A, Piranian A, Jamison KA, Malcolm T, Store separation trajectory predictions for maritime Search and Rescue (SAR); Aerospace Research Central; 2017. http://hdl.handle.net/10204/9747 .TY - Conference Presentation AU - Akroyd, G AU - Cenko, A AU - Piranian, A AU - Jamison, Kevin A AU - Malcolm, T AB - The Australian Maritime Safety Authority (AMSA) plans to replace Dornier 328 turboprops with Bombardier Challenger 604 special mission jets modified for search and rescue (SAR). Similarly configured CL-604 Multi-Mission Aircraft are in service with the Royal Danish Air Force. Search and Rescue (SAR) Store Separation from Turbojet Aircraft. There are several store separation challenges posed by replacing a turboprop aircraft with a turbojet. For the 328 the rear cargo door used for store separation is well clear of the engine, Figure 1. For the 604 it’s just underneath the nacelle, Figure 2. In addition, the minim airspeed at which the 604 can release stores is higher, but sill subsonic. Unlike military aircraft, Sea Air Rescue has not used wind tunnel testing, Computational Fluid Dynamics (CFD) nor Six Degree-of-Freedom (SDOF) trajectory simulations prior to flight testing. This might have been since the released stores were relatively light weight, the airspeeds low, and incidental contact with the aircraft unlikely to cause significant damage at low airspeeds. This paper will describe how SDOF trajectory simulations might be used to reduce the cost and time required to safely complete a jet SAR flight test program. DA - 2017-06 DB - ResearchSpace DP - CSIR KW - Store separation KW - Search and Rescue KW - Trajectory predictions KW - Trajectory simulations LK - https://researchspace.csir.co.za PY - 2017 SM - 978-1-62410-501-2 T1 - Store separation trajectory predictions for maritime Search and Rescue (SAR) TI - Store separation trajectory predictions for maritime Search and Rescue (SAR) UR - http://hdl.handle.net/10204/9747 ER -