Prestranded Clamp Asymmetrical Tuning Fork Damper Factory

Cataiog No.	Weight (kg)	Catalog No. of preforme aomor roads	Wire length	Main dimensions(mm)
				Steel cored aluminium stranded wire	aluminium wire	Galvanizeds teel strand	Aluminium CI steel wire
FRYJ-1/G	1.6	FY-0235(7.5~8.16)	700	LGJ-35/6	LJ-35	GJ-35	GLB-35
FRYJ-2/G	2.6	FY-0250(9~9.6)		LGJ-50/8	LJ-50	GJ-50	GLB-50
						GJ-55	GLB-55
		FY-0270(10.8~11.7)		LGJ-50/30	LJ-70	GJ-70	GLB-70
				LGJ-70/10		GJ-80	GLB-80
FRYJ-3/G	4.3	FY-0295(12.48~13.87)	800	LGJ-70/40	LJ-95	GJ-95 GJ-100	GLB-95 GLB-100
				LGJ-95/15
				LGJ-95/20
FRYJ-1/2	1.7	FY-02120(14.26~16)		LGJ-95/55	LJ-120 LJ-150	GJ-120 GJ-150	GLB-120 GLB-150
				LGJ-120/7
				LGJ-120/20
				LGJ-120/25
				LGJ-150/8
FRYJ-1/3	2.3	FY-02150(16.67~18)		LGJ-120/70	LJ-185	GJ-185	GLB-185
				LGJ-150/20
				LGJ-150/25
				LGJ-150/35
				LGJ-185/10
FRYJ-2/4	3.5	FY-02185(18.75~20)		LGJ-185/25	LJ-210 LJ-240
				LGJ-185/30
				LGJ-185/45
				LGJ-210/10
				LGJ-210/25
		FY-03240(20.86~22.4)	900	LGJ-210/35	LJ-300
				LGJ-210/50
				LGJ-240/30
				LGJ-240/40
				LGJ-240/55
FRYJ-3/5	5	FY-03300 (23.01~25.2)		LGJ-300/15
				LGJ-300/20
				LGJ-300/25
				LGJ-300/40
				LGJ-300/50
				LGJ-300/70
FRYJ-4/5		FY-03400(25.9~28)		LGJ-400/20	LJ-400
				LGJ-400/25
				LGJ-400/35
				LGJ-400/50
				LGJ-400/65
FRYJ-4/6	6.9	FY-03500(29.12~30.96)	1000	LGJ-400/95	LJ-500
				LGJ-500/35
				LGJ-500/45
				LGJ-500/65
		FY-03630(32.67~34.82)		LGJ-630/45	LJ-630
				LGJ-630/55
				LGJ-630/80

1.Tuning Fork Damper Design: The design of a tuning fork damper involves selecting appropriate parameters such as mass, stiffness, and damping. These parameters are chosen to optimize the damper’s performance in reducing vibrations. Analytical methods and numerical simulations are often used to determine the optimal values.

2.Applications: Tuning fork dampers are commonly used in civil engineering (e.g., buildings, bridges) and mechanical systems (e.g., machinery, vehicles) to mitigate vibrations caused by external forces or dynamic loads.

3.Nonlinear Systems: While most analyses assume linear primary systems, there’s ongoing research on tuning methods for nonlinear primary systems. These systems exhibit stiffness nonlinearity (softening or hardening) and require specialized tuning approaches.

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