K3438-0002CC   Lackawanna Coal and Lumber Scale Shay w/Lionel RailSounds, TMCC & Electrocouplers  
    $849.95 ea.    
K3438-0002CC


The most popular geared engine used in logging operations was the Shay, with over 2700 engines built by Lima Locomotive Works between 1880 and 1945. This steamer, designed by logger Ephraim Shay, features a vertical engine on the right side, an off center boiler to the left and a lineshaft that connects the engine to every axle. This provided extra power, with reduced weight, so the Shay could climb steep grades and follow rough track, two hallmarks of early logging railroading.

The K-LINE 1:48 Scale Model of the 60-Ton, 3-Cylinder, 2-Truck Shay brings this distinctive engine to the layouts of every railroader. Don't spend over $1000. Equipped with TrainMaster Command Control and RailSounds, the industry standards in remote operation and full-featured digital sound, these Shay locos have all the bells and whistles for a whole lot less.

Catalog: 2005 1st Edition
Release Date: SOLD OUT

Scale Shay Features
  •   1:48 Scale
  •   All New Tooling
  •   Die Cast Boiler
  •   Die Cast Metal Chassis
  •   Flywheel Equipped Motor
  •   Puffing Smoke Synchronized to Wheels
  •   Working Connecting Rods, Shafts and Gears
  •   Metal Wheels and Axles
  •   Lighted Cab Interior
  •   Fire Box Glow
  •   Separate Metal Handrails
  •   Directional Lighting including Operating Headlight
  •   Solid Brass Builder’s Plates
  •   Engineer and Fireman Figures
  •   Decorative Gold Plated Bell and Whistle
  •   TrainMaster Command Control
  •   Lionel RailSounds including CrewTalk and TowerCom
  •   Constant Voltage Headlight
  •   Electrocoupler on Both Ends of Engine
  •   Puffing Smoke Synchronized to Sounds and Wheels
  •   Operates on O-31
  •   10.5" Long


NOTE: The accuracy of the information presented is not guaranteed. In fact, some items were never produced or delivered. If you have facts or direct knowledge of any inaccuracies presented in this data, please provide updated data via the product feedback process so that we may continue to improve the quality of the data.

User Comments

Report an inaccuracy  |  Add a Comment