NTSB CAROL · Event
Event LAX83LA432
Aircraft involved
Factual narrative
THE STUDENT & INSTRUCTOR (CFI) WERE PRACTICING TOUCH & GO LANDINGS. DURING TAKEOFF FROM THE 4TH TOUCH & GO, THE LEFT ENG LOST POWER WHILE CLIMBING THRU ABOUT 200 FT AGL. THE CFI TOOK CONTROL OF THE ACFT. AT ABOUT THE SAME TIME, THE STUDENT SAW OIL COMING FROM THE LEFT ENG. THE CFI FEATHERED THE LEFT ENG, & AT THAT TIME, THE ACFT WAS VIBRATING & INDICATING 100 MPH. THE CFI LOWERED THE NOSE TO MAINTAIN THE BEST SINGLE ENG RATE OF CLIMB SPEED. HOWEVER, AT THAT SPEED, THE ACFT WAS IN A DESCENT. THE CFI CONTINUED OVER ROUGH TERRAIN TOWARD POWER LINES UNTIL HE REALIZED THE ACFT WOULD NOT CONTINUE TO FLY, THEN TURNED TO THE MOST SUITABLE TERRAIN & CRASH LANDED. AN EXAM OF THE LEFT ENG REVEALED A BROKEN OIL COOLER LINE. HOWEVER, 4 QTS OF OIL WAS STILL REMAINING & THERE WAS NO EVIDENCE THAT THE LOSS OF OIL HAD CAUSED THE ENG FAILURE. THE SPARK PLUGS WERE HEAVILY SOOTED, WHICH WAS INDICATIVE OF AN EXTREMELY RICH MIXTURE. ROUGH SPOTS WERE FOUND ON THE CARBURETOR FLOAT CHAMBER NEEDLE VLV, WHICH REPORTEDLY COULD HAVE ALLOWED THE VLV TO STICK OPEN. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1983_LAX83LA432.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (icing). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- NASA NTRS 2025 · Presentation
NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- arXiv 2024 · arXiv preprint
An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…
- NASA NTRS 2024 · Presentation
NASA Icing Update – Oct 2024
This presentation provides a status update on select NASA icing research activities for the SAE AC-9C Icing Technical Committee Meeting on Oct 21, 2024.
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